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Package Name Access Summary Updated
r-lava public Latent Variable Models 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-squarem public Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). 2025-03-25
r-gower public Gower's Distance 2025-03-25
r-sfsmisc public Utilities from 'Seminar fuer Statistik' ETH Zurich 2025-03-25
r-robustbase public Basic Robust Statistics 2025-03-25
r-deoptimr public Differential Evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it only provides an implementation of the 'jDE' algorithm by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>. 2025-03-25
r-magic public Create and Investigate Magic Squares 2025-03-25
r-rcpproll public 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. 2025-03-25
r-dimred public A Framework for Dimensionality Reduction 2025-03-25
r-drr public An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression. 2025-03-25
r-cvst public The fast cross-validation via sequential testing (CVST) procedure is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating under-performing candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts. 2025-03-25
r-kernlab 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. 2025-03-25
r-rbokeh public A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <http://bokeh.pydata.org/>. 2025-03-25
r-quantmod public No Summary 2025-03-25
r-ttr public Technical Trading Rules 2025-03-25
r-maptools public Tools for Handling Spatial Objects 2025-03-25
r-sp public 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. 2025-03-25
r-xts public eXtensible Time Series 2025-03-25
r-cardata public Companion to Applied Regression Data Sets 2025-03-25
r-quantreg public Quantile Regression 2025-03-25
r-sparsem public Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products. 2025-03-25
r-haven public Import and Export SPSS, Stata and SAS Files 2025-03-25
r-readr public Read Rectangular Text Data 2025-03-25
r-shiny public Web Application Framework for R 2025-03-25

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