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r-openxlsx
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public |
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
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2025-03-25 |
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r-officer
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public |
Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
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2025-03-25 |
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r-nnet
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public |
Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
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2025-03-25 |
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r-nloptr
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public |
Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See <http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction> for more information on the available algorithms. During installation of nloptr on Unix-based systems, the installer checks whether the NLopt library is installed on the system. If the NLopt library cannot be found, the code is compiled using the NLopt source included in the nloptr package.
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2025-03-25 |
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r-nlme
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public |
Fit and compare Gaussian linear and nonlinear mixed-effects models.
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2025-03-25 |
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r-nleqslv
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public |
Solve a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
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2025-03-25 |
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r-mvtnorm
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public |
Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
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2025-03-25 |
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r-multicool
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public |
A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. (2009) <DOI:10.1145/1496770.1496877> Loopless Generation of Multiset Permutations by Prefix Shifts. Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from <http://tamivox.org/dave/multinomial/code.html> and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here <http://jeromekelleher.net/tag/integer-partitions.html>. The C++ code and Python code are distributed without conditions.
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2025-03-25 |
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r-modelmetrics
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public |
Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc.
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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-minqa
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public |
Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.
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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-microbenchmark
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public |
Provides infrastructure to accurately measure and compare the execution time of R expressions.
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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, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. 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-mda
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public |
Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, ...
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2025-03-25 |
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r-mcmc
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public |
Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the log unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012, <doi:10.1214/12-AOS1048>, function morph.metrop), which achieves geometric ergodicity by change of variable.
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2025-03-25 |
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r-mclust
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public |
Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
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2025-03-25 |
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r-matrixstats
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public |
High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
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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-matching
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public |
Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided.
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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-maptools
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public |
Set of tools for manipulating geographic data. It includes binary access to 'GSHHG' shoreline files. The package also provides interface wrappers for exchanging spatial objects with packages such as 'PBSmapping', 'spatstat', 'maps', 'RArcInfo', and others.
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2025-03-25 |
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r-maps
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public |
Display of maps. Projection code and larger maps are in separate packages ('mapproj' and 'mapdata').
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2025-03-25 |
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r-mapproj
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public |
Converts latitude/longitude into projected coordinates.
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2025-03-25 |
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r-mapdata
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public |
Supplement to maps package, providing the larger and/or higher-resolution databases.
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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-ltsa
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public |
Methods of developing linear time series modelling. Methods are given for loglikelihood computation, forecasting and simulation.
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2025-03-25 |
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r-lsei
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public |
It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <http://www.netlib.org/lawson-hanson>.
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2025-03-25 |
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r-lpsolve
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public |
Lp_solve is freely available (under LGPL 2) software for solving linear, integer and mixed integer programs. In this implementation we supply a "wrapper" function in C and some R functions that solve general linear/integer problems, assignment problems, and transportation problems. This version calls lp_solve version 5.5.
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2025-03-25 |
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r-lokern
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public |
Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
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2025-03-25 |
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r-loe
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public |
Local Ordinal embedding (LOE) is one of graph embedding methods for unweighted graphs.
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2025-03-25 |
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r-lmtest
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public |
A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided.
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2025-03-25 |
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r-limsolve
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public |
Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems. The package calls Fortran functions from 'LINPACK'.
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2025-03-25 |
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r-libcoin
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public |
Basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999) <http://epub.wu.ac.at/102/>. This package must not be used by end-users. CRAN package 'coin' implements all user interfaces and is ready to be used by anyone.
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2025-03-25 |
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r-lhs
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public |
Provides a number of methods for creating and augmenting Latin Hypercube Samples.
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2025-03-25 |
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r-leaps
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public |
Regression subset selection, including exhaustive search.
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2025-03-25 |
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r-lda
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public |
Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
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2025-03-25 |
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r-lbfgsb3
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public |
Interfacing to Nocedal et al. L-BFGS-B.3.0 (2011) limited memory BFGS minimizer with bounds on parameters.
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2025-03-25 |
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r-lbfgs
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public |
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems.
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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-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-later
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public |
Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied.
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2025-03-25 |
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r-lasso2
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public |
Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).
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2025-03-25 |
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r-lars
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public |
Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below.
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2025-03-25 |
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r-lamw
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public |
Implements both real-valued branches of the Lambert-W function, also known as the product logarithm, without the need for installing the entire GSL.
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2025-03-25 |
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r-ksamples
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public |
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
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2025-03-25 |
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r-kohonen
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public |
Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
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2025-03-25 |
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r-kfksds
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public |
Naive implementation of the Kalman filter, smoother and disturbance smoother for state space models.
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2025-03-25 |
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r-kfas
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public |
State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
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2025-03-25 |
