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Package Name Access Summary Updated
r-reutils public Talk to the NCBI EUtils 2025-03-25
r-xml public Tools for Parsing and Generating XML Within R and S-Plus 2025-03-25
r-lpsolve public Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs 2025-03-25
r-rcppprogress public An Interruptible Progress Bar with OpenMP Support for C++ in R Packages 2025-03-25
r-pls public Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS). 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-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-car public Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Second Edition, Sage, 2011 2025-03-25
r-rio public A Swiss-Army Knife for Data I/O 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-openxlsx 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. 2025-03-25
r-zip public Cross-Platform 'zip' Compression 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-pbkrtest public No Summary 2025-03-25
r-lme4 public Linear Mixed-Effects Models using 'Eigen' and S4 2025-03-25
r-nloptr public R Interface to NLopt 2025-03-25

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