⚡ Oceans Eleven Movie Analysis

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Oceans Eleven Movie Analysis



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Ocean's Eleven in 4 Minutes (Movie Recap)

One of the most notable moments in the race came from a near-fatal accident when stunt man Joe Canutt, Yakima Canutt's son, was tossed into the air by accident; he incurred a minor chin injury. Marton conceived the idea of showing that Ben-Hur was able to land on and cling to the front of his chariot, then scramble back into the quadriga while the horses kept going. A dummy was used to obtain the trampling shot in this sequence.

Several urban legends exist regarding the chariot sequence. One claims that a stuntman died during filming, which Nosher Powell claims in his autobiography, [] and another states that a red Ferrari can be seen during the chariot race. The book Movie Mistakes claims this is a myth. Warner president of Warner Bros. It was number one at the monthly US box office for six months. Ben-Hur received overwhelmingly positive reviews upon its release. It is a stunning complex of mighty setting, thrilling action by horses and men, panoramic observation and overwhelming use of dramatic sound.

Scheuer of the Los Angeles Times called it "magnificent, inspiring, awesome, enthralling, and all the other adjectives you have been reading about it". The race, directed by Andrew Marton and Yakima Canutt, represents some 40 minutes [ sic ] [r] of the most hair-raising excitement that film audiences have ever witnessed. There was some criticism, however. Crowther felt the film was too long. He singled out the galley rowing sequence, Jesus's journey to the place of crucifixion, and nearly all the sequences involving the lepers.

He also lightly criticized Charlton Heston for being more physically than emotionally compelling. In December , in her review for the London Sunday Times , the veteran English film critic Dilys Powell expressed many serious reservations about the film, but she still lavished praise on the film:. It is the best chariot race in the world, and no mistake. By now everybody has said so, and I cannot complain. I still find that the whole is alien from me Nevertheless, if we must have films of this kind this is the one to have.

After all, the spectacular scenes remain: the sea-fight, the Triumph, a magnificent storm and, of course, the chariot race—a scene superbly shot, superbly edited, superb in every way. I have never seen anything of its sort to touch it for excitement. The critics consensus reads, "Uneven, but in terms of epic scope and grand spectacle, Ben-Hur still ranks among Hollywood's finest examples of pure entertainment. Ben-Hur was nominated for 12 Academy Awards and won an unprecedented Ben-Hur also appears on several "best of" lists generated by the American Film Institute , an independent non-profit organization created by the National Endowment for the Arts in The " AFI Years In , the National Film Preservation Board selected Ben-Hur for preservation by the National Film Registry for being a "culturally, historically, or aesthetically significant" motion picture.

The film's first telecast took place on Sunday, February 14, It was watched by Ben-Hur has been released on home video on several occasions. A two-sided single disc widescreen release occurred in the United States on March 13, The film saw another DVD release on September 13, In , Warner Home Video released a 50th anniversary edition on Blu-ray Disc and DVD, making it the first home release where the film is present on its original aspect ratio. The movie was banned in China under the regime of Mao Zedong for containing "propaganda of superstitious beliefs, namely Christianity. From Wikipedia, the free encyclopedia.

Religious epic film. Theatrical release poster by Reynold Brown. John D. Dunning Ralph E. Release date. November 18, Running time. Main article: Production of Ben-Hur film. Behrman , Gore Vidal and Christopher Fry worked on the script in the course of development. See the Writing section for more details. In the wake of World War II the Italian government banned the movement of lira out of Italy as a means of stabilizing the inflation-plagued Italian economy. Finding a way to spend this money in Italy would free up resources elsewhere for the studio. Fry did not arrive in Rome until May and Vidal says he did not leave Rome until mid or late June, so Vidal's arrival in Rome can be deduced with some accuracy.

See: Vidal, p. Still Lancaster refused. See: Buford, p. See: Bret, p. See: Hofler, p. See: Herman, p. Libya, which was at war with Israel, had enacted legislation in banning any individual or company from doing business with Israel or Jews. At least one non-contemporary source puts the number at 15, See: Cyrino, p. The entire circus sequence lasts just over and-a-half minutes. See: Cowley, p. American Film Institute. Retrieved July 6, Loew's Inc. British Board of Film Classification.

Retrieved July 18, Library of Congress, Washington, D. Retrieved May 19, June 2, Archived from the original on December 29, Retrieved November 13, December 8, October 8, November 4, December 5, September 10, June 17, Paramount Pictures, Inc. February 16, American Antiquarian Society. How much is that in real money? Retrieved January 1, November 26, February 5, April 7, January 4, June 25, , p.

Retrieved December 25, October 29, Los Angeles Times. ISSN Retrieved August 25, August 10, January 11, British Lights Film Journal. January 23, April 14, August 4, July 18, May 17, April 4, Metropolitan Opera Guild. Accessed March 13, January 12, Film Permit. March 12, June 8, October 7, March 15, July 20, , p. Accessed December 27, November 23, , p. Accessed April 21, Online Liner Notes". Film Score Monthly. Retrieved April 21, Life magazine. January 19, June 7, March 16, The New York Times. November 19, Great Via Blockbusters". The Robesonian. Retrieved March 17, United Press International. November 25, Part I, pp. The New Yorker.

London: Pavilion Books. ISBN Rotten Tomatoes. Retrieved May 26, CBS Interactive. Retrieved October 27, Archived from the original on July 6, Retrieved August 21, AMC Networks. Retrieved June 24, Golden Globes. Retrieved August 7, December 29, Retrieved July 17, November 15, TV Since ". January 24, Retrieved March 18, December 22, Archived from the original on March 19, Grand Comics Database. May 11, Alexander, Shana. September 6, The Alfred I.

Altman, Rick Sound Theory, Sound Practice. Florence, Ky: Psychology Press. Computes the statistical indices of affluence richness and constructs bootstrap confidence intervals for these indices. Also computes the Wolfson polarization index. Allows estimation and modelling of flight costs in animal vertebrate flight, implementing the aerodynamic power model described in Klein Heerenbrink et al. Amsterdam: Elsevier. ISBN , flight performance is estimated based on basic morphological measurements such as body mass, wingspan and wing area.

Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. For Date variables, recency and duration are supported. There is also support for dummy variables in predictive contexts. Please cite Yi et al. Computation of A pedigree , G genomic-base , and H A corrected by G relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models. Tools supporting multi-criteria and group decision making, including variable number of criteria, by means of aggregation operators, spread measures, fuzzy logic connectives, fusion functions, and preordered sets.

Possible applications include, but are not limited to, quality management, scientometrics, software engineering, etc. Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more. Calculate agreement or consensus in ordered rating scales. Furthermore, an implementation of Galtungs AJUS-system is provided to classify distributions, as well as a function to identify the position of multiple modes.

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. Aho-Corasick is an optimal algorithm for finding many keywords in a text. It can locate all matches in a text in O NM time; i. This implementation builds the trie the generic name of the data structure and runs the search in a single function call. If you want to search multiple texts with the same trie, the function will take a list or vector of texts and return a list of matches to each text.

A more efficient trie is possible if the alphabet size can be reduced. For example, DNA sequences use at most 19 distinct characters and usually only 4; protein sequences use at most 26 distinct characters and usually only UTF-8 Unicode matching is not currently supported. R functions for adaptively constructing index models for continuous, binary and survival outcomes. Use help airGR for package description and references. Deals with many computations related to the thermodynamics of atmospheric processes. It includes many functions designed to consider the density of air with varying degrees of water vapour in it, saturation pressures and mixing ratios, conversion of moisture indices, computation of atmospheric states of parcels subject to dry or pseudoadiabatic vertical evolutions and atmospheric instability indices that are routinely used for operational weather forecasts or meteorological diagnostics.

Continuous and discrete count or categorical estimation of density, probability mass function p. The cross-validation technique and the local Bayesian procedure are also implemented for bandwidth selection. Several cubic spline interpolation methods of H. Linear interpolation of irregular gridded data is also covered by reusing D. Renkas triangulation code which is part of Akimas Fortran code. A bilinear interpolator for regular grids was also added for comparison with the bicubic interpolator on regular grids. Adaptive K-means algorithm with various threshold settings.

It support two distance metric: Euclidean distance, Cosine distance 1 - cosine similarity In version 1. Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear objective functions with constraints. Linear or nonlinear equality and inequality constraints are allowed. It provides the density, distribution function, quantile function, random number generator, likelihood function, moments and Maximum Likelihood estimators for a given sample, all this for the three parameter Asymmetric Laplace Distribution defined in Koenker and Machado This is a special case of the skewed family of distributions available in Galarza et.

Functions designed to facilitate the assignment of morpho-functional group MFG classifications to phytoplankton species based on a combination of taxonomy Class,Order and a suite of 7 binomial functional traits. Classifications can also be made using only a species list and a database of trait-derived classifications included in the package. MFG classifications are derived from Salmaso et al. This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty.

Government shall be held liable for any damages resulting from the authorized on unauthorized use of the software. Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact. Two unordered pairs of data of two different snips positions is haplotyped by resolving a small number ob closed equations.

The company, Algorithmia, houses the largest marketplace of online algorithms. This package essentially holds a bunch of REST wrappers that make it very easy to call algorithms in the Algorithmia platform and access files and directories in the Algorithmia data API. Parameterized features weights are used to determine the optimal alignment and functions are provided to estimate optimum values using a genetic algorithm and supervised learning. A collection of tools for stochastic sensor error characterization using the Allan Variance technique originally developed by D. Tools to simulate alphanumeric alleles, impute genetic missing data and reconstruct non-recombinant haplotypes from pedigree databases in a deterministic way.

Allelic simulations can be implemented taking into account many factors such as number of families, markers, alleles per marker, probability and proportion of missing genotypes, recombination rate, etc. Genotype imputation can be used with simulated datasets or real databases previously loaded in. Haplotype reconstruction can be carried out even with missing data, since the program firstly imputes each family genotype without a reference panel , to later reconstruct the corresponding haplotypes for each family member.

All this considering that each individual due to meiosis should unequivocally have two alleles per marker one inherited from each parent and thus imputation and reconstruction results can be deterministically calculated. Tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present. The package is targeted at those working with large datasets and databases containing multiple samples of each individual, a situation that is common in conservation genetics, and particularly in non-invasive wildlife sampling applications.

Functions explicitly incorporate missing data, and can tolerate allele mismatches created by genotyping error. If you use this tool, please cite the package using the journal article in Molecular Ecology Resources Galpern et al. Simulate the effect of management or demography on allele retention and inbreeding accumulation in bottlenecked populations of animals with overlapping generations. This is the implementation in RC of a new association test described in A fast, unbiased and exact allelic exact test for case-control association studies Submitted.

It appears that in most cases the classical chi-square test used for testing for allelic association on genotype data is biased. Our test is unbiased, exact but fast throught careful optimization. Creating alluvial diagrams also known as parallel sets plots for multivariate and time series-like data. Provides a routine to concentrate out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model glm. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual.

Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Using of the accelerated line search algorithm for simultaneously diagonalize a set of symmetric positive definite matrices. Users can queue jobs, poll job status, and retrieve application output as a data frame. Provides alternative statistical methods for meta-analysis, including new heterogeneity tests and measures that are robust to outliers.

Creates the optimal D, U and I designs for the accelerated life testing with right censoring or interval censoring. It uses generalized linear model GLM approach to derive the asymptotic variance-covariance matrix of regression coefficients. The failure time distribution is assumed to follow Weibull distribution with a known shape parameter and log-linear link functions are used to model the relationship between failure time parameters and stress variables. The acceleration model may have multiple stress factors, although most ALTs involve only two or less stress factors.

Tools for Clustering and Principal Component Analysis With robust methods, and parallelized functions. Generation of natural looking noise has many application within simulation, procedural generation, and art, to name a few. Accompanies Designing experiments and analyzing data: A model comparison perspective 3rd ed. More specifically, this package provides functions that use as input the question and answer texts, and output the LaTeX code for AMC. A tool that multiply imputes missing data in a single cross-section such as a survey , from a time series like variables collected for each year in a country , or from a time-series-cross-sectional data set such as collected by years for each of several countries. Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables.

Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes but please let us know if you find to the contrary! The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R. Implements anomaly detection as binary classification for cross-sectional data. Uses maximum likelihood estimates and normal probability functions to classify observations as anomalous.

Analysis of dyadic network and relational data using additive and multiplicative effects AME models. This package includes a set of pricing functions for American call options. The following cases are covered: Pricing of an American call using the standard binomial approximation; Hedge parameters for an American call with a standard binomial tree; Binomial pricing of an American call with continuous payout from the underlying asset; Binomial pricing of an American call with an underlying stock that pays proportional dividends in discrete time; Pricing of an American call on futures using a binomial approximation; Pricing of a currency futures American call using a binomial approximation; Pricing of a perpetual American call.

The user should kindly notice that this material is for educational purposes only. The codes are not optimized for computational efficiency as they are meant to represent standard cases of analytical and numerical solution. A color palette generator inspired by American politics, with colors ranging from blue on the left to gray in the middle and red on the right. A variety of palettes allow for a range of applications from brief discrete scales e.

This package greatly benefitted from building on the source code with permission from Ram and Wickham This package implements the adaptive mixed lasso AML method proposed by Wang et al. AML applies adaptive lasso penalty to a large number of predictors, thus producing a sparse model, while accounting for the population structure in the linear mixed model framework.

The package here is primarily designed for application to genome wide association studies or genomic prediction in plant breeding populations, though it could be applied to other settings of linear mixed models. Provides a function to calculate the concentration of un-ionized ammonia in the total ammonia in aqueous solution using the pH and temperature values.

This package was born to release the TAO robust neural network algorithm to the R users. It has grown and I think it can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the user space. A method for automatic detection of peaks in noisy periodic and quasi-periodic signals. This method, called automatic multiscale-based peak detection AMPD , is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima. Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings.

Class with methods to read and execute R commands described as steps in a CSV file. Functions for normalisation, differentially analysis of microarray data and local False Discovery Rate. Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.

The ANOCVA allows us to compare the clustering structure of multiple groups simultaneously and also to identify features that contribute to the differential clustering. The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial. Allows for the computation of a prior predictive p-value to test replication of relevant features of original ANOVA studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of sample sizes for new studies, post-hoc power calculations, and comes with a Shiny application in which all calculations can be conducted as well.

This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors. Made to make your life simpler with packages, by installing and loading a list of packages, whether they are on CRAN, Bioconductor or github. For github, if you do not have the full path, with the maintainer name in it e. Provides a set of functions to analyse overdispersed counts or proportions.

Most of the methods are already available elsewhere but are scattered in different packages. The proposed functions should be considered as complements to more sophisticated methods such as generalized estimating equations GEE or generalized linear mixed effect models GLMM. Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations GEE or generalized linear mixed effect models GLMM.

Another implementation of object-orientation in R. It provides syntactic sugar for the S4 class system and two alternative new implementations. One is an experimental version built around S4 and the other one makes it more convenient to work with lists as objects. A collection of functions to construct A-optimal block designs for comparing test treatments with one or more control s. Mainly A-optimal balanced treatment incomplete block designs, weighted A-optimal balanced treatment incomplete block designs, A-optimal group divisible treatment designs and A-optimal balanced bipartite block designs can be constructed using the package.

The designs are constructed using algorithms based on linear integer programming. To the best of our knowledge, these facilities to construct A-optimal block designs for comparing test treatments with one or more controls are not available in the existing R packages. For more details on designs for tests versus control s comparisons, please see Hedayat, A. Communications in Statistics - Theory and Methods 46 8 , The main functionalities are to extract data from access and error log files to data frames. Functions for age-period-cohort analysis. The data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses.

The statistical model is a generalized linear model GLM allowing for 3,2,1 or 0 of the age-period-cohort factors. Thus, the analysis does not rely on ad hoc identification. The adapted pair correlation function transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape e. This is a reimplementation of the method suggested by Nuske et al. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation.

Various plotting functions are available for analyzing clustering results. An implementation of the additive polynomial AP design matrix. It constructs and appends an AP design matrix to a data frame for use with longitudinal data subject to seasonality. By default, it prints the first 5 elements of each dimension. By default, the number of columns is equal to the number of lines. If you want to control the selection of the elements, you can pass a list, with each element being a vector giving the selection for each dimension. Details of the methods can be found in Quatto P, Margaritella N, et al. An unofficial companion to Applied Logistic Regression by D.

Hosmer, S. Lemeshow and R. Sturdivant 3rd ed. It solves L0 penalty problem by simultaneously selecting regularization parameters and the number of non-zero coefficients. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization problem. It could deal with very high dimensional data and has superior selection performance. Convert several png files into an animated png file. Call the apng function with a vector of file names which should be png files to convert them to a single animated png file. Calculating predictive model performance measures adjusted for predictor distributions using density ratio method Sugiyama et al.

L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed. Amyloid propensity prediction neural network APPNN is an amyloidogenicity propensity predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly published sequences with experimental, in vitro, evidence of amyloid formation. Performs Bayesian prediction of complex computer codes when fast approximations are available. Tools for constructing a matched design with multiple comparison groups.

Further specifications of refined covariate balance restriction and exact match on covariate can be imposed. An unofficial companion to the textbook Applied Regression Analysis by N. Draper and H. Smith 3rd Ed. It is meant to help to balance development vs. Formats latex tables from one or more model objects side-by-side with standard errors below, not unlike tables found in such journals as the American Political Science Review. We provide tools to estimate two prediction accuracy metrics, the average positive predictive values AP as well as the well-known AUC the area under the receiver operator characteristic curve for risk scores.

The outcome of interest is either binary or censored event time. Optional outputs include positive predictive values and true positive fractions at the specified marker cut-off values, and a plot of the time-dependent AP versus time available for event time data. Currently available features include fetching and storing historical data, receiving and sending live data. Several utility methods for simple data transformations are included, too. Moreover, this package is a useful teaching resource for graphical presentation of Acceptance-Rejection method. Several numerical examples are provided to illustrate the graphical presentation for the Acceptance-Rejection Method.

Processes noble gas mass spectrometer data to determine the isotopic composition of argon comprised of Ar36, Ar37, Ar38, Ar39 and Ar40 released from neutron-irradiated potassium-bearing minerals. Then uses these compositions to calculate precise and accurate geochronological ages for multiple samples as well as the covariances between them. Error propagation is done in matrix form, which jointly treats all samples and all isotopes simultaneously at every step of the data reduction process. The package also contains several convenience methods that allow to automatically set CBA parameters minimum confidence, minimum support and it also natively handles numeric attributes by integrating a pre-discretization step. The archdata package provides several types of data that are typically used in archaeological research.

Package ArDec implements autoregressive-based decomposition of a time series based on the constructive approach in West Particular cases include the extraction of trend and seasonal components. Plot stacked areas and confidence bands as filled polygons, or add polygons to existing plots. A variety of input formats are supported, including vectors, matrices, data frames, formulas, etc. It replicates the method introduced in paper Yang, S. Utilities for secure password hashing via the argon2 algorithm. It is a relatively new hashing algorithm and is believed to be very secure.

R wrapper around the argon HTML library. Functions to filters animal satellite tracking data obtained from Argos. It is especially indicated for telemetry studies of marine animals, where Argos locations are predominantly of low-quality. Cross-platform command-line argument parser written purely in R with no external dependencies. It is useful with the Rscript front-end and facilitates turning an R script into an executable script. The typical process of checking arguments in functions is iterative.

In this process, an error may be returned and the user may fix it only to receive another error on a different argument. Both one-sample and two-sample mean test are available with various probabilistic alternative prior models. It contains a function to consistently estimate higher order moments of the population covariance spectral distribution using the spectral of the sample covariance matrix Bai et al.

In addition, it contains a function to sample from 3-variate chi-squared random vectors approximately with a given correlation matrix when the degrees of freedom are large. Implements an efficient O n algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Functions to accompany A. Gelman and J. This allows for sampling from a univariate target probability distribution specified by its potentially unnormalised log density. Tools for simulating data generated by direct observation recording. Behavior streams are simulated based on an alternating renewal process, given specified distributions of event durations and interim times. Different procedures for recording data can then be applied to the simulated behavior streams.

Functions are provided for the following recording methods: continuous duration recording, event counting, momentary time sampling, partial interval recording, whole interval recording, and augmented interval recording. Provides convenience functions for programming with magrittr pipes. Conditional pipes, a string prefixer and a function to pipe the given object into a specific argument given by character name are currently supported. It is named after the dadaist Hans Arp, a friend of Rene Magritte. Functions for Arps decline-curve analysis on oil and gas data. Includes exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as well as the preceding with initial curtailment or a period of linear rate buildup. Functions included for computing rate, cumulative production, instantaneous decline, EUR, time to economic limit, and performing least-squares best fits.

Fast generators and iterators for permutations, combinations and partitions. The iterators allow users to generate arrangements in a memory efficient manner and the generated arrangements are in lexicographical dictionary order. High performance variant of apply for a fixed set of functions. Considerable speedup is a trade-off for universality, user defined functions cannot be used with this package. However, 21 most currently employed functions are available for usage. They can be divided in three types: reducing functions like mean , sum etc.

Optional or mandatory additional arguments required by some functions e. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. BMC Systems Biology, Starting from time-course gene expression measurements for a gene of interest referred to as target gene and a set of genes referred to as parent genes which may explain the expression of the target gene, the ARTIVA procedure identifies temporal segments for which a set of interactions occur between the parent genes and the target gene.

The time points that delimit the different temporal segments are referred to as changepoints CP. For calculating gene and pathway p-values using the Adaptive Rank Truncated Product test. Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns frequent itemsets and association rules. Also provides C implementations of the association mining algorithms Apriori and Eclat.

Provides a function to build an association rule-based classifier for data frames, and to classify incoming data frames using such a classifier. NBMiner is an implementation of the model-based mining algorithm for mining NB-frequent itemsets presented in Michael Hahsler. A model-based frequency constraint for mining associations from transaction data.

Data Mining and Knowledge Discovery, 13 2 , September In addition an extension for NB-precise rules is implemented. Add-on for arules to handle and mine frequent sequences. Included in this package are methods to create ASCII rulers and associated GenBank sequence blocks, multi-column text displays that make it easy for viewers to locate nucleotides by position.

Package runs simulations for adaptive seamless designs with and without early outcomes for treatment selection and subpopulation type designs. A simple driver that reads binary data created by the ASD Inc. Spectral data can be extracted from the ASD files as raw DN , white reference, radiance, or reflectance. Additionally, the metadata information contained in the ASD file header can also be accessed.

This package provides an interface to those shapefiles, as well as methods for converting coordinates to shapefiles. It is also included in Boost but requires linking when used with Boost. Standalone it can be used header-only provided a recent compiler. Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data. This package allows to make inference on the properties of causal genetic variants in linkage disequilibrium with genotyped markers.

In a first step, we select a subset of variants using a score statistic for affected sib-pairs. In a second step, on the selected subset, we make inference on causal genetic variants in the considered region. The aSPC test is designed to test global association between two groups of variables potentially with moderate to high dimension e. The aSPC is particularly useful when the association signals between two groups of variables are sparse. Contains various functions for optimal scaling.

One function performs optimal scaling by maximizing an aspect i. Another function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as structural equation models. Tools for the analysis and visualization of bilateral asymmetry in parasitic infections.

Simple, flexible, assertions on data. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data. A minimal set of predicates and assertions used by the assertive package. This is mainly for use by other package developers who want to include run-time testing features in their own packages.

End-users will usually want to use assertive directly. A set of predicates and assertions for checking the properties of code. A set of predicates and assertions for checking the properties of country independent complex data types. A set of predicates and assertions for checking the properties of UK-specific complex data types. A set of predicates and assertions for checking the properties of US-specific complex data types. A set of predicates and assertions for checking the properties of dates and times.

A set of predicates and assertions for checking the properties of files and connections. A set of predicates and assertions for checking the properties of matrices. A set of predicates and assertions for checking the properties of models. A set of predicates and assertions for checking the properties of numbers. A set of predicates and assertions for checking the properties of variables, such as length, names and attributes. A set of predicates and assertions for checking the state and capabilities of R, the operating system it is running on, and the IDE being used.

A set of predicates and assertions for checking the properties of sets. A set of predicates and assertions for checking the properties of strings. A set of predicates and assertions for checking the types of variables. When doing association analysis one does not always have the genotypes for the control population. In such cases it may be necessary to fall back on frequency based tests using well known sources for the frequencies in the control population, for instance, from the Genomes Project. It includes three score tests that are based on the difference of the sum of allele frequencies between cases and controls.

Two of these tests, Wcorrected and Wqls , are collapsing-based tests and suffer from having protective and risk variants. Implements several new association indices that can control for various types of errors. Also includes existing association indices and functions for simulating the effects of different rates of error on estimates of association strength between individuals using each method. Functions to calculate the assortment of vertices in social networks.

This can be measured on both weighted and binary networks, with discrete or continuous vertex values. Fits a model to adjust and consider additional variations in three dimensions of age groups, time, and space on residuals excluded from a prediction model that have residual such as: linear regression, mixed model and so on. Details are given in Foreman et al. Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families e.

Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family e. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival e. Uses the exponential family canonical parameterization aster transform of usual parameterization. Unlike the aster package, this package does dependence groups nodes of the graph need not be conditionally independent given their predecessor node , including multinomial and two-parameter normal as families. The planet Lagash "Kalgash" in the novel is constantly illuminated by at least one of the six suns of its multiple star system.

Lagash has areas of darkness in caves, tunnels, etc. A skeptical journalist visits a university observatory to interview a group of scientists who warn that civilization will soon end. The researchers explain that they have discovered evidence of numerous ancient civilizations on Lagash, all destroyed by fire, with each collapse occurring about 2, years apart. The religious writings of a doomsday cult claim that Lagash periodically passes through an enormous cave where mysterious " stars " appear.

The stars are said to rain down fire from the heavens and rob people of their souls, reducing them to beast-like savages. The scientists use this apparent myth, along with recent discoveries in gravitational research, to develop a theory about the repeated collapse of society. A mathematical analysis of Lagash's orbit around its primary sun reveals irregularities caused by an undiscovered moon that cannot be seen in the light of the six suns. Calculations indicate that this moon will soon obscure one of Lagash's suns when it is alone in the sky, resulting in a total eclipse that occurs once every 2, years.

Having evolved on a planet with no diurnal cycle , Lagashians possess an intense, instinctive fear of the dark and have never experienced a prolonged period of widespread darkness. Psychological experiments have revealed that Lagashians experience permanent mental damage or even death after as little as 15 minutes in the dark, and the eclipse is projected to last for several hours. The scientists theorize that earlier civilizations were destroyed by people who went insane during previous eclipses and—desperate for any light source—started large fires that destroyed cities.

Oral accounts of the chaos from crazed survivors and small children were passed down through the ages and became the basis for the cult's sacred texts. Present-day civilization is doomed for the same reasons, but the researchers hope that detailed observations of the upcoming eclipse will help to break the cycle of societal collapse. The scientists are unprepared, however, for the stars. Because of the perpetual daylight on Lagash, its inhabitants are unaware of the existence of stars apart from their own; astronomers believe that the entire universe is no more than a few light years in diameter and may hypothetically contain a small number of other suns.

But Lagash is located in the center of a " giant cluster ", and during the eclipse, the night sky—the first that people have ever seen—is filled with the dazzling light of more than 30, newly visible stars. Learning that the universe is far more vast—and Lagash far more insignificant—than they believed causes everyone, including the scientists, to go insane.

Outside the observatory, in the direction of the city, the horizon begins glowing with the light of spreading fires as "the long night" returns to Lagash. The system of Lagash has six stars named Alpha, Beta, etc. In the novel, Onos is the primary sun of Lagash and is located 10 light-minutes away, similar to the distance from Earth to the Sun. The other five suns are minor in comparison, but provide enough light to prevent the inhabitants of Lagash from defining "night". The only other distance given is that Tano and Sitha form a binary star system about 11 times as far away as Onos. From what can be drawn from the text, Onos, the star appearing brightest and largest in Lagash's sky, is the star that Lagash orbits. Onos, in turn, orbits around the binary system Trey and Patru, the other binary system Tano and Sitha, and the red dwarf star Dovim.

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