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Package Name Access Summary Updated
r-pkgconfig public Set configuration options on a per-package basis. Options set by a given package only apply to that package, other packages are unaffected. 2025-03-25
r-pillar public Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals. 2025-03-25
r-permute public A set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples) is provided. 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak. 2025-03-25
r-pbapply public A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends. 2025-03-25
r-packrat public Manage the R packages your project depends on in an isolated, portable, and reproducible way. 2025-03-25
r-oz public Functions for plotting Australia's coastline and state boundaries. 2025-03-25
r-optimx public Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. 2025-03-25
r-optextras public Tools to assist in safely applying user generated objective and derivative function to optimization programs. These are primarily function minimization methods with at most bounds and masks on the parameters. Provides a way to check the basic computation of objective functions that the user provides, along with proposed gradient and Hessian functions, as well as to wrap such functions to avoid failures when inadmissible parameters are provided. Check bounds and masks. Check scaling or optimality conditions. Perform an axial search to seek lower points on the objective function surface. Includes forward, central and backward gradient approximation codes. 2025-03-25
r-opennlpdata public Apache OpenNLP jars and basic English language models. 2025-03-25
r-opennlp public An interface to the Apache OpenNLP tools (version 1.5.3). The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text written in Java. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. See <http://opennlp.apache.org/> for more information. 2025-03-25
r-oaiharvester public Harvest metadata using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) version 2.0 (for more information, see <http://www.openarchives.org/OAI/openarchivesprotocol.html>). 2025-03-25
r-numderiv public Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions. 2025-03-25
r-npsurv public Contains functions for non-parametric survival analysis of exact and interval-censored observations. 2025-03-25
r-nortest public Five omnibus tests for testing the composite hypothesis of normality. 2025-03-25
r-nlp public Basic classes and methods for Natural Language Processing. 2025-03-25
r-nlcoptim public Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix. 2025-03-25
r-munsell public Provides easy access to, and manipulation of, the Munsell colours. Provides a mapping between Munsell's original notation (e.g. "5R 5/10") and hexadecimal strings suitable for use directly in R graphics. Also provides utilities to explore slices through the Munsell colour tree, to transform Munsell colours and display colour palettes. 2025-03-25
r-multcompview public Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different. Designed for use in conjunction with the output of functions like TukeyHSD, dist{stats}, simint, simtest, csimint, csimtest{multcomp}, friedmanmc, kruskalmc{pgirmess}. 2025-03-25
r-mswm public Estimation, inference and diagnostics for Univariate Autoregressive Markov Switching Models for Linear and Generalized Models. Distributions for the series include gaussian, Poisson, binomial and gamma cases. The EM algorithm is used for estimation (see Perlin (2012) <doi:10.2139/ssrn.1714016>). 2025-03-25
r-mratios public Performs (simultaneous) inferences for ratios of linear combinations of coefficients in the general linear model. Multiple comparisons and simultaneous confidence interval estimations can be performed for ratios of treatment means in the normal one-way layout with homogeneous and heterogeneous treatment variances, according to Dilba et al. (2007) <https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and Hasler and Hothorn (2008) <doi:10.1002/bimj.200710466>. Confidence interval estimations for ratios of linear combinations of linear model parameters like in (multiple) slope ratio and parallel line assays can be carried out. Moreover, it is possible to calculate the sample sizes required in comparisons with a control based on relative margins. For the simple two-sample problem, functions for a t-test for ratio-formatted hypotheses and the corresponding confidence interval are provided assuming homogeneous or heterogeneous group variances. 2025-03-25
r-modelwordcloud public Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified colors or colored by the strength of the coefficient of that text derived from a regression model. 2025-03-25
r-modeltools public A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome! 2025-03-25
r-mlbench public A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository. 2025-03-25
r-mlapi public Provides 'R6' abstract classes for building machine learning models with 'scikit-learn' like API. <http://scikit-learn.org/> is a popular module for 'Python' programming language which design became de facto a standard in industry for machine learning tasks. 2025-03-25
r-mitools public Tools to perform analyses and combine results from multiple-imputation datasets. 2025-03-25
r-misctools public Miscellaneous small tools and utilities. Many of them facilitate the work with matrices, e.g. inserting rows or columns, creating symmetric matrices, or checking for semidefiniteness. Other tools facilitate the work with regression models, e.g. extracting the standard errors, obtaining the number of (estimated) parameters, or calculating R-squared values. 2025-03-25
r-misc3d public A collection of miscellaneous 3d plots, including isosurfaces. 2025-03-25
r-mgsub public Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches). 2025-03-25
r-memoise public Cache the results of a function so that when you call it again with the same arguments it returns the pre-computed value. 2025-03-25
r-mc2d public A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous). 2025-03-25
r-matrixmodels public Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes. 2025-03-25
r-matrixcalc public A collection of functions to support matrix calculations for probability, econometric and numerical analysis. There are additional functions that are comparable to APL functions which are useful for actuarial models such as pension mathematics. This package is used for teaching and research purposes at the Department of Finance and Risk Engineering, New York University, Polytechnic Institute, Brooklyn, NY 11201. 2025-03-25
r-matlab public Emulate MATLAB code using R 2025-03-25
r-matconv public Transferring over a code base from Matlab to R is often a repetitive and inefficient use of time. This package provides a translator for Matlab / Octave code into R code. It does some syntax changes, but most of the heavy lifting is in the function changes since the languages are so similar. Options for different data structures and the functions that can be changed are given. The Matlab code should be mostly in adherence to the standard style guide but some effort has been made to accommodate different number of spaces and other small syntax issues. This will not make the code more R friendly and may not even run afterwards. However, the rudimentary syntax, base function and data structure conversion is done quickly so that the maintainer can focus on changes to the design structure. 2025-03-25
r-magrittr public Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions. For more information, see package vignette. To quote Rene Magritte, "Ceci n'est pas un pipe." 2025-03-25
r-magic public A collection of efficient, vectorized algorithms for the creation and investigation of magic squares and hypercubes, including a variety of functions for the manipulation and analysis of arbitrarily dimensioned arrays. The package includes methods for creating normal magic squares of any order greater than 2. The ultimate intention is for the package to be a computerized embodiment all magic square knowledge, including direct numerical verification of properties of magic squares (such as recent results on the determinant of odd-ordered semimagic squares). Some antimagic functionality is included. The package also serves as a rebuttal to the often-heard comment "I thought R was just for statistics". 2025-03-25
r-longmemo public Datasets and Functionality from 'Jan Beran' (1994). Statistics for Long-Memory Processes; Chapman & Hall. Estimation of Hurst (and more) parameters for fractional Gaussian noise, 'fARIMA' and 'FEXP' models. 2025-03-25
r-lle public LLE is a non-linear algorithm for mapping high-dimensional data into a lower dimensional (intrinsic) space. This package provides the main functions to performs the LLE alogrithm including some enhancements like subset selection, calculation of the intrinsic dimension etc. 2025-03-25
r-listenv public List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'. 2025-03-25
r-learnbayes public A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. 2025-03-25
r-latticeextra public Building on the infrastructure provided by the lattice package, this package provides several new high-level functions and methods, as well as additional utilities such as panel and axis annotation functions. 2025-03-25
r-lambda.r public A language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety. 2025-03-25
r-lagged public Provides classes and methods for lagged objects. 2025-03-25
r-laeken public Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions. 2025-03-25
r-labeling public Provides a range of axis labeling algorithms 2025-03-25
r-knitr public Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques. 2025-03-25
r-kendall public Computes the Kendall rank correlation and Mann-Kendall trend test. See documentation for use of block bootstrap when there is autocorrelation. 2025-03-25
r-janeaustenr public Full texts for Jane Austen's 6 completed novels, ready for text analysis. These novels are "Sense and Sensibility", "Pride and Prejudice", "Mansfield Park", "Emma", "Northanger Abbey", and "Persuasion". 2025-03-25
r-iterators public Support for iterators, which allow a programmer to traverse through all the elements of a vector, list, or other collection of data. 2025-03-25
r-iswr public Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534. 2025-03-25

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