Packages — R (Page 4 of 7)

r-preprocesscore 1.40.0 — Collection of pre-processing functions

This package provides a library of core pre-processing and normalization routines.

r-prettyunits 1.0.2 — Pretty, human readable formatting of quantities

This package provides tools for pretty, human readable formatting of quantities.

r-prodlim 1.6.1 — Product-limit estimation for censored event history analysis

This package provides a fast and user-friendly implementation of nonparametric estimators for censored event history (survival) analysis with the Kaplan-Meier and Aalen-Johansen methods.

r-progress 1.1.2 — Terminal progress bars

This package provides configurable progress bars. They may include percentage, elapsed time, and/or the estimated completion time. They work in terminals, in Emacs ESS, RStudio, Windows Rgui, and the macOS R.app. The package also provides a C++ API, that works with or without Rcpp.

r-protgenerics 1.10.0 — S4 generic functions for proteomics infrastructure

This package provides S4 generic functions needed by Bioconductor proteomics packages.

r-proto 1.0.0 — Prototype object-based programming

Proto is an object oriented system using object-based, also called prototype-based, rather than class-based object oriented ideas.

r-proxy 0.4-20 — Distance and similarity measures

This package provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.

r-pryr 0.1.3 — Tools for computing on the R language

This package provides useful tools to pry back the covers of R and understand the language at a deeper level.

r-psych 1.7.8 — Procedures for psychological, psychometric, and personality research

This package provides a general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics.

r-purrr 0.2.4 — Functional programming tools

This package completes R's functional programming tools with missing features present in other programming languages.

r-qtl 1.41-6 — R package for analyzing QTL experiments in genetics

R/qtl is an extension library for the R statistics system. It is used to analyze experimental crosses for identifying genes contributing to variation in quantitative traits (so-called quantitative trait loci, QTLs).

Using a hidden Markov model, R/qtl allows to estimate genetic maps, to identify genotyping errors, and to perform single-QTL and two-QTL, two-dimensional genome scans.

r-quadprog 1.5-5 — Functions to solve quadratic programming problems

This package contains routines and documentation for solving quadratic programming problems.

r-quantreg 5.34 — Quantile regression

This package provides an estimation and inference methods for models of conditional quantiles: linear and nonlinear parametric and non-parametric models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.

r-qvalue 2.10.0 — Q-value estimation for false discovery rate control

This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local false discovery rate (FDR) values. The q-value of a test measures the proportion of false positives incurred when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.

r-r-cache 0.12.0 — Light-weight caching of objects and results

This package provides methods for caching or memoization of objects and results. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).

r-r-methodss3 1.7.1 — S3 methods simplified

This package provides methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4.

r-r-oo 1.21.0 — R object-oriented programming with or without references

This package provides methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers.

r-r-rsp 0.41.0 — Dynamic generation of scientific reports

The RSP markup language provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. Today's date is <%=Sys.Date()%>. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. RSP is ideal for self-contained scientific reports and R package vignettes.

r-r-utils 2.6.0 — Various programming utilities

This package provides utility functions useful when programming and developing R packages.

r-r4rna 0.1.4 — Analysis framework for RNA secondary structure

The R4RNA package aims to be a general framework for the analysis of RNA secondary structure and comparative analysis in R.

r-r6 2.2.2 — Classes with reference semantics in R

The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.

r-randomforest 4.6-12 — Breiman and Cutler's random forests for classification and regression

This package provides the Breiman and Cutler's random forests algorithm, based on a forest of trees using random inputs, for classification and regression.

r-ranger 0.8.0 — Fast implementation of random forests

This package provides a fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently.

r-rann 2.5.1 — Fast nearest neighbour search

This package finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library. Provides approximate, exact searches, fixed radius searches, bd and kb trees.

r-raremetals2 0.1 — Analyze gene-level association tests for binary trait

The R package rareMETALS2 is an extension of the R package rareMETALS. It was designed to meta-analyze gene-level association tests for binary trait. While rareMETALS offers a near-complete solution for meta-analysis of gene-level tests for quantitative trait, it does not offer the optimal solution for binary trait. The package rareMETALS2 offers improved features for analyzing gene-level association tests in meta-analyses for binary trait.

r-rbgl 1.54.0 — Interface to the Boost graph library

This package provides a fairly extensive and comprehensive interface to the graph algorithms contained in the Boost library.

r-rcas 1.3.4 — RNA-centric annotation system

RCAS aims to be a standalone RNA-centric annotation system that provides intuitive reports and publication-ready graphics. This package provides the R library implementing most of the pipeline's features.

r-rcolorbrewer 1.1-2 — ColorBrewer palettes

This package provides color schemes for maps (and other graphics) designed by Cynthia Brewer as described at http://colorbrewer2.org

r-rcpp 0.12.14 — Seamless R and C++ integration

The Rcpp package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about Rcpp is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.

r-rcpparmadillo 0.8.300.1.0 — Rcpp integration for the Armadillo linear algebra library

Armadillo is a templated C++ linear algebra library that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. This package includes the header files from the templated Armadillo library.

r-rcppeigen 0.3.3.3.1 — Rcpp integration for the Eigen templated linear algebra library

This package provides an integration of Eigen in R using a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems.

r-rcppprogress 0.4 — Interruptible progress bar for C++ in R packages

This package allows to display a progress bar in the R console for long running computations taking place in C++ code, and support for interrupting those computations even in multithreaded code, typically using OpenMP.

r-rcpproll 0.2.2 — Efficient rolling and windowed operations

This package provides fast and efficient routines for common rolling / windowed operations. Routines for the efficient computation of windowed mean, median, sum, product, minimum, maximum, standard deviation and variance are provided.

r-rcurl 1.95-0.1.2 — General network client interface for R

The package allows one to compose general HTTP requests and provides convenient functions to fetch URIs, GET and POST forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.

r-readr 1.1.1 — Read tabular data

This package provides functions to read flat or tabular text files from disk (or a connection).

r-recipes 0.1.1 — Preprocessing tools to create design matrices

Recipes is an extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.

r-registry 0.5 — Infrastructure for R package registries

This package provides a generic infrastructure for creating and using R package registries.

r-rematch 1.0.1 — Match regular expressions with a nicer API

This package provides a small wrapper on regexpr to extract the matches and captured groups from the match of a regular expression to a character vector.

r-reshape 0.8.7 — Flexibly reshape data

Flexibly restructure and aggregate data using just two functions: melt and cast. This package provides them.

r-reshape2 1.4.3 — Flexibly reshape data: a reboot of the "reshape" package

Reshape2 is an R library to flexibly restructure and aggregate data using just two functions: melt and dcast (or acast).

r-rgraphviz 2.22.0 — Plotting capabilities for R graph objects

This package interfaces R with the graphviz library for plotting R graph objects from the graph package.

r-rhdf5 2.22.0 — HDF5 interface to R

This R/Bioconductor package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications work on datasets that are larger than the available RAM.

r-rhtslib 1.10.0 — High-throughput sequencing library as an R package

This package provides the HTSlib C library for high-throughput nucleotide sequence analysis. The package is primarily useful to developers of other R packages who wish to make use of HTSlib.

r-rjson 0.2.15 — JSON library for R

This package provides functions to convert R objects into JSON objects and vice-versa.

r-rlang 0.1.4 — Functions for base types, core R and Tidyverse features

This package provides a toolbox for working with base types, core R features like the condition system, and core Tidyverse features like tidy evaluation.

r-rmarkdown 1.8 — Convert R Markdown documents into a variety of formats

This package provides tools to convert R Markdown documents into a variety of formats.

r-rmpi 0.6-6 — R interface to message-passing interface (MPI)

This package provides an interface (wrapper) to MPI APIs. It also provides an interactive R manager and worker environment.

r-rmtstat 0.3 — Distributions, statistics and tests derived from random matrix theory

This package provides functions for working with the Tracy-Widom laws and other distributions related to the eigenvalues of large Wishart matrices.

r-rmysql 0.10.13 — Database interface and MySQL driver for R

This package provides a DBI interface to MySQL / MariaDB. The RMySQL package contains an old implementation based on legacy code from S-PLUS which is being phased out. A modern MySQL client based on Rcpp is available from the RMariaDB package.

r-rngtools 1.2.4 — Utility functions for working with random number generators

This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

r-robust 0.4-18 — Port of the S+ "Robust Library"

This package is a port of the S+ "Robust Library". It provides methods for robust statistics, notably for robust regression and robust multivariate analysis.

r-robustbase 0.92-8 — Basic robust statistics

This packages allows to analyze data with robust methods such as regression methodology including model selections and multivariate statistics.

r-rocr 1.0-7 — Visualizing the performance of scoring classifiers

ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism.

r-rook 1.1-1 — Web server interface for R

This package contains the Rook specification and convenience software for building and running Rook applications. A Rook application is an R reference class object that implements a call method or an R closure that takes exactly one argument, an environment, and returns a list with three named elements: the status, the headers, and the body.

r-roxygen2 6.0.1 — In-source documentation system for R

Roxygen2 is a Doxygen-like in-source documentation system for Rd, collation, and NAMESPACE files.

r-rpart 4.1-11 — Recursive partitioning and regression trees

This package provides recursive partitioning functions for classification, regression and survival trees.

r-rprojroot 1.3-1 — Finding files in project subdirectories

This package helps accessing files relative to a project root. It provides helpers for robust, reliable and flexible paths to files below a project root. The root of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.

r-rrcov 1.4-3 — Scalable robust estimators with high breakdown Point

This package provides an implementation of robust location and scatter estimation and robust multivariate analysis with high breakdown point.

r-rsamtools 1.30.0 — Interface to samtools, bcftools, and tabix

This package provides an interface to the 'samtools', 'bcftools', and 'tabix' utilities for manipulating SAM (Sequence Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed tab-delimited (tabix) files.

r-rsofia 1.1 — Port of sofia-ml to R

This package is a port of sofia-ml to R. Sofia-ml is a suite of fast incremental algorithms for machine learning that can be used for training models for classification or ranking.

r-rsolnp 1.16 — General non-linear optimization

The Rsolnp package implements a general non-linear augmented Lagrange multiplier method solver, a sequential quadratic programming (SQP) based solver).

r-rsqlite 2.0 — SQLite interface for R

This package embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine (version 3.8.8.2) is included.

r-rstudioapi 0.7 — Safely access the RStudio API

This package provides functions to access the RStudio API and provide informative error messages when it's not available.

r-rtracklayer 1.38.2 — R interface to genome browsers and their annotation tracks

rtracklayer is an extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/import tracks to/from the supported browsers, as well as query and modify the browser state, such as the current viewport.

r-rtsne 0.13 — T-distributed stochastic neighbor embedding

This package provides an R wrapper around the fast T-distributed Stochastic Neighbor Embedding using a Barnes-Hut implementation.

r-runit 0.4.31 — R unit test framework

This package provides R functions implementing a standard unit testing framework, with additional code inspection and report generation tools.

r-rversions 1.0.3 — Query R versions, including 'r-release' and 'r-oldrel'

This package provides functions to query the main R repository to find the versions that r-release and r-oldrel refer to, and also all previous R versions and their release dates.

r-s4vectors 0.16.0 — S4 implementation of vectors and lists

The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, and Hits) are implemented in the S4Vectors package itself.

r-scales 0.5.0 — Scale functions for visualization

This package provides graphical scales that map data to aesthetics, and provides methods for automatically determining breaks and labels for axes and legends.

r-scatterplot3d 0.3-40 — 3D scatter plot

This package provides an implementation of scatter plots for plotting. a three dimensional point cloud.

r-sdmtools 1.1-221 — Species distribution modelling tools

This packages provides a set of tools for post processing the outcomes of species distribution modeling exercises. It includes novel methods for comparing models and tracking changes in distributions through time. It further includes methods for visualizing outcomes, selecting thresholds, calculating measures of accuracy and landscape fragmentation statistics, etc.

r-segmented 0.5-3.0 — Regression models with breakpoints estimation

Given a regression model, segmented updates the model by adding one or more segmented (i.e., piecewise-linear) relationships. Several variables with multiple breakpoints are allowed.

r-sendmailr 1.2-1 — Send email using R

This package contains a simple SMTP client which provides a portable solution for sending email, including attachments, from within R.

r-seqgl 1.1.4 — Group lasso for Dnase/ChIP-seq data

SeqGL is a group lasso based algorithm to extract transcription factor sequence signals from ChIP, DNase and ATAC-seq profiles. This package presents a method which uses group lasso to discriminate between bound and non bound genomic regions to accurately identify transcription factors bound at the specific regions.

r-seqinr 3.4-5 — Biological sequences retrieval and analysis

This package provides tools for exploratory data analysis and data visualization of biological sequence (DNA and protein) data. It also includes utilities for sequence data management under the ACNUC system.

r-seqlogo 1.44.0 — Sequence logos for DNA sequence alignments

seqLogo takes the position weight matrix of a DNA sequence motif and plots the corresponding sequence logo as introduced by Schneider and Stephens (1990).

r-seqminer 6.0 — Read nucleotide sequence data (VCF, BCF, and METAL formats)

This package provides tools to integrate nucleotide sequencing data (variant call format, e.g. VCF or BCF) or meta-analysis results in R.

r-seqpattern 1.10.0 — Visualising oligonucleotide patterns and motif occurrences

This package provides tools to visualize oligonucleotide patterns and sequence motif occurrences across a large set of sequences centred at a common reference point and sorted by a user defined feature.

r-servr 0.8 — Simple HTTP server to serve static files or dynamic documents

Servr provides an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.

r-seurat 2.1.0 — Seurat is an R toolkit for single cell genomics

This package is an R package designed for QC, analysis, and exploration of single cell RNA-seq data. It easily enables widely-used analytical techniques, including the identification of highly variable genes, dimensionality reduction; PCA, ICA, t-SNE, standard unsupervised clustering algorithms; density clustering, hierarchical clustering, k-means, and the discovery of differentially expressed genes and markers.

r-sfsmisc 1.1-1 — Utilities from "Seminar fuer Statistik" ETH Zurich

This package provides useful utilities from Seminar fuer Statistik ETH Zurich, including many that are related to graphics.

r-shape 1.4.3 — Functions for plotting graphical shapes

This package provides functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...

r-shiny 1.0.3 — Easy interactive web applications with R

Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.

r-shortread 1.36.0 — FASTQ input and manipulation tools

This package implements sampling, iteration, and input of FASTQ files. It includes functions for filtering and trimming reads, and for generating a quality assessment report. Data are represented as DNAStringSet-derived objects, and easily manipulated for a diversity of purposes. The package also contains legacy support for early single-end, ungapped alignment formats.

r-sm 2.2-5.4 — Smoothing methods for nonparametric regression and density estimation

This is software accompanying the book 'Applied Smoothing Techniques for Data Analysis---The Kernel Approach with S-Plus Illustrations', Oxford University Press. It provides smoothing methods for nonparametric regression and density estimation

r-sn 1.5-1 — The skew-normal and skew-t distributions

This packages provides functionalities to build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provides related statistical methods for data fitting and diagnostics, in the univariate and the multivariate case.

r-snow 0.4-2 — Support for simple parallel computing in R

The snow package provides support for simple parallel computing on a network of workstations using R. A master R process calls makeCluster to start a cluster of worker processes; the master process then uses functions such as clusterCall and clusterApply to execute R code on the worker processes and collect and return the results on the master.

r-snpstats 1.28.0 — Methods for SNP association studies

This package provides classes and statistical methods for large single-nucleotide polymorphism (SNP) association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.

r-sourcetools 0.1.6 — Tools for reading, tokenizing and parsing R code

The sourcetools package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.

r-sp 1.2-5 — Classes and methods for spatial data

This package provides classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.

r-spams 2.6-2017-03-22 — Toolbox for solving sparse estimation problems

SPAMS (SPArse Modeling Software) is an optimization toolbox for solving various sparse estimation problems. It includes tools for the following problems:

  1. Dictionary learning and matrix factorization (NMF, sparse principle component analysis (PCA), ...)

  2. Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods

  3. Solving structured sparse decomposition problems (l1/l2, l1/linf, sparse group lasso, tree-structured regularization, structured sparsity with overlapping groups,...).

r-sparql 1.16 — SPARQL client for R

This package provides an interface to use SPARQL to pose SELECT or UPDATE queries to an end-point.

r-sparsem 1.77 — Sparse linear algebra

This package provides some basic linear algebra functionality for sparse matrices. It includes Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.

r-spatial 7.3-11 — Functions for kriging and point pattern analysis

This package provides functions for kriging and point pattern analysis.

r-statmod 1.4.30 — Statistical modeling

This package provides a collection of algorithms and functions to aid statistical modeling. It includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. It also includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

r-stringdist 0.9.4.6 — Approximate string matching and string distance functions

This package implements an approximate string matching version of R's native match function. It can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.

r-stringi 1.1.6 — Character string processing facilities

This package allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Among available features there are: pattern searching (e.g. via regular expressions), random string generation, string collation, transliteration, concatenation, date-time formatting and parsing, etc.

r-stringr 1.2.0 — Simple, consistent wrappers for common string operations

Stringr is a consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.

r-summarizedexperiment 1.8.0 — Container for representing genomic ranges by sample

The SummarizedExperiment container contains one or more assays, each represented by a matrix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.

r-suppdists 1.1-9.4 — Supplementary distributions

This package provides ten distributions supplementing those built into R. Inverse Gauss, Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio, the Pearson product moment correlation coefficient, Johnson distributions, normal scores and generalized hypergeometric distributions. In addition two random number generators of George Marsaglia are included.