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r-modelmetrics
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public |
Collection of metrics for evaluating models written in C++ using 'Rcpp'.
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2025-03-25 |
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r-mnormt
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public |
Functions are provided for computing the density and the distribution function of multivariate normal and "t" random variables, and for generating random vectors sampled from these distributions. Probabilities are computed via non-Monte Carlo methods; different routines are used in the case d=1, d=2, d>2, if d denotes the number of dimensions.
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2025-03-25 |
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r-mime
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public |
Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.
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2025-03-25 |
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r-mgcv
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public |
Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.
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2025-03-25 |
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r-matrix
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public |
A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
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2025-03-25 |
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r-mass
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public |
Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
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2025-03-25 |
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r-markdown
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public |
Provides R bindings to the 'Sundown' 'Markdown' rendering library (https://github.com/vmg/sundown). 'Markdown' is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See http://en.wikipedia.org/wiki/Markdown for more information about 'Markdown'.
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2025-03-25 |
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r-magrittr
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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."
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2025-03-25 |
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r-magic
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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".
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2025-03-25 |
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r-lubridate
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public |
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
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2025-03-25 |
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r-lazyeval
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public |
An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
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2025-03-25 |
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r-lava
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public |
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (two-stage)... The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
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2025-03-25 |
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r-latticeextra
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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.
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2025-03-25 |
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r-lattice
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public |
A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
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2025-03-25 |
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r-labeling
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public |
Provides a range of axis labeling algorithms
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2025-03-25 |
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r-knitr
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public |
Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
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2025-03-25 |
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r-kernsmooth
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public |
Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
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2025-03-25 |
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r-kernlab
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public |
Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
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2025-03-25 |
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r-jsonlite
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public |
A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
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2025-03-25 |
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r-iterators
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public |
Support for iterators, which allow a programmer to traverse through all the elements of a vector, list, or other collection of data.
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2025-03-25 |
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r-irlba
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public |
Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
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2025-03-25 |
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r-ipred
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public |
Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
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2025-03-25 |
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r-igraph
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public |
Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
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2025-03-25 |
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r-httr
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public |
Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
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2025-03-25 |
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r-httpuv
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public |
Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
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2025-03-25 |
