CRAN usage

The following CRAN packages use Rcpp:
  • RQuantLib, an R interface to QuantLib quantitative finance libraries
  • RInside, a set of C++ classes that make it easy to embed R in your C++ applications
  • RProtoBuf, an interface from R to the Google ProtoBuf library
  • mvabund, a set of tools for displaying, modeling and analysing multivariate abundance data in community ecology.
  • sdcTable, a package for statistical disclosure control for tabular data.
  • RcppExamples, a example package illustrating use of Rcpp and providing concrete examples.
  • RcppArmadillo, an interface from R to the Armadillo C++ linear algebra library using Rcpp.
  • minqa which provides derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.
  • phylobase implements a base S4 class for comparison of phylogenetic structures and data.
  • RSNNS wraps the Stuttgart Neural Network Simulator (SNNS), a library containing many standard implementations of neural networks, and brings these to R.
  • parser implements a detailed source code parser based on the R parser and grammar with a different representation of the parsed expressions. (This package is now archived as the functionality has largely been integreated into R itself.)
  • RcppGSL which provides an interface from R to the GNU GSL vector and matrix types.
  • orQA can be used to assess repeatability, accuracy and cross-platform agreement of titration microarray data.
  • RcppDE provides differential evolution optimization (just like (DEoptim which it is based) and serves as a small case study in porting from plain C to the combination of C++ and Rcpp.
  • RcppBDT provides (parts of) Boost Date.Time by using Rcpp modules to easily expose the Boost functionality to R.
  • unmarked uses Rcpp and RcppArmadillo to provide code to fit hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling.
  • The simFrame package provides an object-oriented general framework for statistical simulations.
  • The VIM package provides visualization for missing values.
  • The SBSA package uses RcppArmadillo to provides functions for simplified Bayesian sensitivity analysis.
  • GUTS contains functions for the fast calculation of the likelihood of a stochastic survival model.
  • The wordcloud package uses Rcpp to accelerate rendering word clouds from text.
  • The planar pakages uses Rcpp modules and RcppArmadillo to solves the electromagnetic problem of reflection and transmission at a multilayer planar interface. Also computes the decay rates for a dipolar emitter near a multilayer structure.
  • fdaMixed offers functional data analysis in a mixed-model framework via a likelihood-based analysis; it uses Rcpp and RcppArmadillo.
  • KernSmoothIRT fits nonparametric item and option characteristic curves using kernel smoothing.
  • The rugarch package can estimate a variety of univariate GARCH models including ARFIMA, in-mean effects, use of external regressors and various other GARCH flavours using both Rcpp and RcppArmadillo.
  • bcp provides an implementation of an approximation to the product partition model for the normal errors change point problem using Markov Chain Monte Carlo, and also extends the methodology to independent multivariate series with an assumed common change point structure.
  • RVowpalWabbit provides an interface to the Vowpal Wabbit fast on-line learner by John Langford et al.
  • The rococo package provides a robust gamma rank correlation coefficient along with a permutation-based rank correlation test both of which are explicitly designed for dealing with noisy numerical data.
  • The LaF package provides methods to efficiently access data from large ascii files, including subsetting and block-wise access.
  • The fastGHQuad package implements functions for fast (and numerically stable) Gauss-Hermite quadrature.
  • The SpatialTools package provides tools for spatial analysis with an emphasis on kriging using Rcpp and RcppArmadillo.
  • RcppSMC implements several Sequential Monte Carlo / Particle Filter models using the SMC template library by Adam Johansen.
  • The psgp package provides projected spatial gaussian process methods for sparse spatial kriging; it uses Rcpp and RcppArmadillo.
  • The WideLm package uses Rcpp as well the NVidia CUDA API (>= 4.1) to simultaneously estimate a large number of 'tall and skinny' models from the same dataset.
  • The forecast package provides methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling; it uses Rcpp and RcppArmadillo.
  • The openair package provides tools to analyse, interpret and understand air pollution data, typically from hourly time series and both monitoring data and dispersion model output can be analysed.
  • The Rmixmod package implements high-performance model-based cluster analysis for mixture modelling.
  • The sdcMicro package contains statistical disclosure control methods for the generation of public- and scientific-use files and can be used for the generation of anonymized (micro)data, i.e. for the generation of public- and scientific-use files.
  • The Rmalchains package implements an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains); memetic algorithms are hybridizations of genetic algorithms with local search methods.
  • The apcluster package implements Frey's and Dueck's Affinity Propagation clustering algorithm in R, and also provides an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation.
  • The survSNP package provides power and sample size calculations for SNP association studies with right censored time to event outcomes.
  • The robustHD package provides robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression; it uses RcppArmadillo.
  • The sparseLTSEigen package implements an RcppEigen-based back-end for sparse least trimmed squares regression with an L1 penalty; it uses RcppEigen.
  • The waffect package simulates phenotypic (case or control) datasets under a disease model H1 such that the total number of cases is constant across all the simulations.
  • The zic package implements Bayesian inference for zero-inflated count models using MCMC written in C++; the package uses Rcpp and RcppArmadillo.
  • The mirt package implements multidimensional item response theory for the analysis of dichotomous and polychotomous response data using latent trait models under the Item Response Theory paradigm.
  • The mets package helps with the analysis of multivariate event times by implementing various statistical models for multivariate event history data, including multivariate cumulative incidence models, and bivariate random effects probit models (liability models).
  • The bfp package implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.
  • gof checks glm and linear structural equation models based on cumulative residuals; it uses Rcpp and RcppArmadillo.
  • The blockcluster package provides co-clustering for Binary, contingency and continuous utility functions to visualize the results.
  • The RcppCNPy package uses Carl Rogers to read / write files created by / for Numeric Python (aka "numpy").
  • The MVB package fits log-linear models for multivariate Bernoulli distributions with mixed effect models and LASSO.
  • The surveillance package provides statistical methods for modeling and change-point detection in time series of counts, proportions and categorical data for temporal and spatio-temporal modeling and monitoring of epidemic phenomena.
  • The fugeR package provides "FUzzy GEnetic" machine learning for prediction models.
  • classify provides classification accuracy under IRT models.
  • The ccaPP package implements robust canonical correlation analysis via projection pursuit; it uses Rcpp and RcppArmadillo.
  • trustOptim provides a trust region algorithm for nonlinear minimization with methods that are designed to be efficient when the Hessian is sparse; it uses Rcpp and RcppEigen.
  • The clusteval package provides a suite of tools to evaluate clustering algorithms, clusterings, and individual clusters.
  • oem implements orthogonolizing expectations maximisation to fit penalized regression; it uses Rcpp and RcppArmadillo.
  • The quadrupen package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems and also provides a few methods for model selection purpose (cross-validation, stability selection); it uses Rcpp and RcppArmadillo.
  • The pbdBASE package implements methods and classes for distributed data types using MPI, and the pbdDMAT provides distributed linear algebra computations; both are part of a set of packages for Programming with Big Data.
  • The robustgam package implements robust estimation for generalized additive models by implementing the fast and stable algorithm in Wong, Yao and Lee (2012).
  • The sparseHessianFD package computes the sparse Hessian using ACM TOMS Algorithm 636; it uses Rcpp and RcppEigen.
  • The gMWT package provides generalized Mann-Whitney type tests based on probabilistic indices; it uses Rcpp and RcppArmadillo.
  • The ngspatial package provides tools for analyzing spatial data, especially non-Gaussian areal data; it use Rcpp and RcppArmadillo.
  • The surveillance package implements tools for temporal and spatio-temporal modeling and monitoring of epidemic phenomena.
  • RcppClassicExamples regroups examples from the deprecated initial API now provided by RcppClassic.
  • The ConConPiWiFun package implements continuous convex piecewise linear functions which are useful for large class of optimization problems.
  • The RcppRoll package supplies fast functions for rolling over vectors and matrices, and provides utility functions 'rollit' and 'rollit_raw' as an interface for generating C++ backed rolling functions; it uses Rcpp and RcppArmadillo.
  • rforensicbatwing calculates forensic trace-suspect match probabilities using a modified version of Ian Wilson's BATWING program.
  • The RcppXts package facilitates access to the C API functions of xts from Rcpp.
  • The stochvol package implements efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via MCMC.
  • The marked provides a framework for handling data and analysis for mark-recapture.
  • The PReMiuN package implements Dirichlet pricess Bayesian clustering also known as profile regression.
  • The ecp package computes hierarchical change point analysis through the use of the energy statistic for multiple change point analysis of multivariate data.
  • The rexpokit packages implements wrappers for EXPOKIT, a Fortran library for matrix exponentiation.
  • The Amelia package for missing data imputation now uses Rcpp and RcppArmadillo. exponentiation.
  • The HLMdiag package provides a suite of diagnostic tools for hierarchical (multilevel) linear models; it uses Rcpp and RcppArmadillo.
  • The stream package implements a framework for data stream modeling and data mining tasks such as classification and clustering..
  • httpuv provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R.
  • cladoRcpp implements various cladogenesis-related calculations in C++ which are slow in pure R.
  • FastPCS implements the FastPCS algorithm for computing the FastPCS outlying index; it uses Rcpp and RcppEigen.
  • rmgarch implements multivariate GARCH models using Rcpp and RcppArmadillo.
  • The FBFsearch package implements an algorithm for searching the space of Gaussian directed acyclic graphical models through moment fractional Bayes factors (and uses Rcpp and RcppArmadillo).
  • The dclong.spt package provides sequential permutation tests in R and C++, using Rcpp and RcppArmadillo.
  • The sequences package illustrate OO programming and package development using biological sequences (DNA and RNA) as a working example.
  • The MPTinR packages analyzes Multinomial Processing Tree Models.
  • msgl implements high-dimensional multiclass classification using the sparse group lasso; it uses Rcpp and RcppArmadillo.
  • The sirt package provides supplementary item-response theory functionality; it uses Rcpp and RcppArmadillo.
  • The GSE package implements robust estimation of multivariate location and scatter in the presence of missing data, it use Rcpp and RcppArmadillo.
  • The diversitree package provides a number of comparative phylogenetic methods, mostly focusing on analysing diversification and character evolution.
  • The clogitL1 package fits exact conditional logistic regression with lasso and elastic net penalties.
  • The tbart packages implements the Teitz and Bart p-median algorithm.
  • climdex.pcic contains routines for the computation of climate indices provided by the Pacific Climate Impact Consortium.
  • The coneproj packages provides routines for cone projection and quadratic programming, as well as routines to do estimation and inference for constrained parametric regression and shape-restricted regression problems; it uses Rcpp and RcppArmadillo.
  • FastRCS implements the FastRCS algorithm for computing the FastRCS outlying index; it uses Rcpp and RcppEigen.
  • The accelerometry package implements functions to process uniaxial minute-to-minute accelerometer data.
  • prospectr processes visible and near infrared diffuse reflectance spectra; it uses Rcpp and RcppArmadillo.
  • The CDM package provides functions for cognitive diagnosis modeling as well as multidimensional item response modeling.
  • Rankcluster implements a model-based clustering algorithm for ranking.
  • The rotations package provides tools for working with rotation data; it uses Rcpp and RcppArmadillo.
  • The lme4 package implements S4 based classes and functions to fit linear mixed-effects models; it uses Rcpp and RcppEigen.
  • AdaptiveSparsity implements algorithms for adaptive sparsity (Jeffrey's prior); it uses Rcpp and RcppArmadillo.
  • The RcppZiggurat package provides several Ziggurat implementations of the fast N(0,1) RNG due to Marsaglia and Tsang (as well as the correction by Leong et al).
  • The GxM package implements maximum likelihood estimation for gene-by-measured environment interaction in behavior genetic designs.
  • disclapmix provides inference for mixtures of discrete Laplace distributions via the EM algorithm.
  • The PedCNV package implements association analysis for CNV data; it uses Rcpp and RcppArmadillo..
  • The lm.br package provides exact significance tests for a changepoint in linear or multivariate linear regression.
  • The bcpa package estimates behavioral change point analysis of animal movement.
  • The hsphase package implements phasing and imputation of half-sib families using SNP data; it uses Rcpp and RcppArmadillo..
  • The hypervolume package implements high-dimensional kernel density estimation and geometry.
  • dils provides data-informed link strength and combines multiple-relationship networks into a single weighted network by imputing (fill-in) missing network links.
  • The ClustVarLV package provides functions to cluster sets of variable around latent variables.
  • The ndl package implements naive discriminant learning and classification models.
  • protViz offers quality checks, visualizations and analysis of mass spectrometry data.
  • The snplist package offers a set of functions to create SQL table from gne and SNP information.
  • The CARBayes implements Bayesian hierarchical spatial areal unit models in which the spatial correlation is modelled by a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution.
  • roxygen2 implements a Doxygen-like documentation system for Rd files, NAMESPACE and DESCRIPTION.
  • sglOptim provides a solver for sparse group lasso generic optimization, using Rcpp and RcppArmadillo.
  • The kmc package provides a Kaplan-Meier estimator with constraints for right-censored data via a recursive algorithm.
  • The pROC package can visualize, smooth and compare receiver operator characteristic (ROC) curves.
  • The XBRL package for the extraction of data from Extensible Business Reporting Language (XBRL) used by the SEC's Edgar system.
  • The wsrf package offers a parallel implementation of the Weighted Subspace Random Forest algorithm.
  • The hawkes package implements a Hawkes process simulation and calibration toolkit. It uses RcppArmadillo and Rcpp.
  • The IsingSampler package provides sampling methods and distribution functions for the Ising model.
  • The TAQMNGR implements tools for tick-by-tick (equity) transaction data.
  • The HUM package extimates the HUM ("hypervolume under the manifold") value to estimate feature ability to discriminate class labels, and visualizes the ROC curve for two or three class labels.
  • Rvcg provides an interface to the Visualization and Computer Graphics Library (VCGLIB) API. It uses Rcpp and RcppEigen.
  • The GMCM package implements fast estimation of Gaussian Mixture Copula Models (GMCM) for unsupervised clustering and meta-analysis; it uses Rcpp and RcppArmadillo.
  • GPvam provides Maximum Likelihood estimation of Multiple Membership Mixed Models used in Value-Added Modeling via an EM algorithm; it uses Rcpp and RcppArmadillo.
  • mice implements Multivariate Imputation by Chained Equations (mice) with built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds).
  • The propagate package implements propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation.
  • The Morpho package provides a toolset for Geometric Morphometrics and mesh processing includingmesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement. It uses Rcpp and RcppArmadillo.
  • glcm computes textures from grey-level co-occurrence matrices (GLCMs) in R, it uses Rcpp and RcppArmadillo.
  • The FastHCS package computes the FastHCS outlyingness index for finding outliers in high dimensional data-sets. It uses Rcpp and RcppEigen.
  • The miceadds package provides additional imputation methods, particularly for mice. It uses Rcpp and RcppArmadillo.
  • The clere package implements an empirical Bayes approach for simultaneous variable clustering and regressions; it uses Rcpp and RcppEigen.
  • scrypt implements Colin Percival's scrypt function for a password-based key derivation function which makes it costly to perform large-scale custom hardware attacks by requiring large amounts of memory.
  • The plyr package provides tools for splitting, applying and combining data.
  • The fastM package implements a fast computation of M-scatter matrices using a partial Newton-Raphson procedure for several estimators; it uses Rcpp and RcppArmadillo.
  • The pcalg package provides methods for graphical models and causal inference, it uses Rcpp and RcppArmadillo.
  • MTS implements an all-purpose toolkit for analyzing multivariate time series (MTS) and estimating multivariate volatility models.
  • The FDRreg package provides tools for false discovery rate regressions; it uses Rcpp and RcppArmadillo.
  • The dbmss package implements distance-based measures of spatial structures.
  • The synlink package provides a framework for synthetic likelihood inference for models where the likelihood is unavailable or intractable.
  • The BalancedSampling package implements balanced and spatially balanced samples in multi-dimensional spaces with prescribed inclusion probabilities.
  • The SocialNetworks package generates social networks based on distance.
  • CMF adds collective matrix factorization which finds joint low-rank representations for collections of matrices with shared entities.
  • The EWGoF package implements Goodness-of-Fit tests for the expenential and two-parameter Weibull distributions..
  • The EWGoF package implements Goodness-of-Fit tests for the expenential and two-parameter Weibull distributions..
  • The TFMPvalue package provides efficient and accurate P-value computation for positive weight matrices.
  • fwsim simulations populations under the Fisher-Wright model with a one-step neutral mutation process.
  • FisHiCal implements iterative FISH-based calibration of Hi-C data for chromosomal spatial analysis; it uses Rcpp and RcppArmadillo.
  • The openxlsx package allows the writing, styling and editing of xlsx worksheets.
  • The reshape2 package implements flexible restructuring and aggregating of data.
  • polywog provides routines for bootstrapped basis regression with oracle model selection, a flexible functional form estimation via basis regression with model selection via the adaptive LASSO or SCAD.
  • diveRsity is a package which allows the calculation of both genetic diversity partition statistics, genetic differentiation statistics and locus informativeness for ancestry assignment.
  • stosim implements stochastic simulator for reliability modeling of repairable systems: A toolkit for reliability availability and maintainability (ram) modeling of industrial process systems.
  • slfm finds coherent patterns in microarray data using Bayesian sparse latent factor models; it uses Rcpp and RcppArmadillo..
  • RcppRedis connect R to the Redis key/value store by using the hiredis C library.
  • The CDS package provides tools for pricing Credit Default Swaps.
  • miscset provides a set of miscellaneous R tools to work with data types and formats.
  • The QRM package provides code to examine quantitative risk management concepts.
  • rlme implements rank-based estimation and prediction in random effects nested models.
  • Rtsne provides t-distributed stochastic neighbor embedding.
  • The FLSSS package solves fixed size subset sum solution problems via a recursive compression algorithm.
  • The randomUniformForest implements forests of unpruned and randomized binary trees for classification and regression.
  • The SpatialEpi package provides cluster detection and disease mapping methods for spatial epidemiology; it uses Rcpp and RcppArmadillo.
  • The mvnfast package implements fast multivariate normal random draws using OpenMP, Rcpp and RcppArmadillo and based on the parallel RNG generator by van den Berg.
  • The RSNPset package implements efficient score statistics in genome-wide SNP set analysis with complex traits; it uses RcppEigen.
  • spBayesSurv provides spatial copula modelling to Bayesian survival analysis; it uses Rcpp and RcppArmadillo.
  • The qVarSel implements variable selection for clustering and classification.
  • ESGtoolkit provides a Monte Carlo simulation toolkit for the simulation of financial assets and interest rates models involved in an Economic Scenario Generator (ESG).
  • The mmand package implements tools for mathematical morphology operation such as erosion and dilation; it uses Rcpp and RcppArmadillo.
  • PerMallows implements permutations and mallows distributions for the Mallows, Generalized Mallows and Weighted Mallows model.
  • spaMM provides spatial mixed models including spatial GLMMs.
  • The icensmis package models study design and data analysis in the presence of error-prone diagnostic tests and self-reported outcomes.
  • The BIFIEsurvey package provides tools for survey statistics in educational assessment; it uses Rcpp and RcppArmadillo.
  • rpf implements item factor analysis fitting, diagnostics, and analysis. It uses RcppEigen.
  • dslice implements a dynamic slicing method designed for dependency detection between a categorical variable and a continuous variable.
  • eive provides a compact genetic algorithm search to reduce errors-in-variables bias in linear regression.
  • rkvo provides functionality to read files containing observations which consist of arbitrary key/value pairs.
  • plotSEMMa graphs nonlinear latent variable interaction in SEMM models using LISREL output.
  • The metafolioa package provides tools for simulating salmon population conservation through portfolio optimization; it uses Rcpp and RcppArmadillo.
  • HDPenReg provides high-dimensional penalized regression.
  • ReorderCluster implements tools for leaf reordering of dendograms that preserve the hierarchical clustering result while attempting to group instances from the same class.
  • rpg provides another interface for R to PostgreSQL.
  • The pryr package provides tools to compute on the R languages and to pry back some covers of R.
  • mwaved offers multichannel wavelet deconvolution with additive long memory noise.
  • rPref implements preferences in R to retrieve maxima for given strict partial orders.
  • treeclim addresses the numerical calibration of proxy-climate relationships via bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology; it uses Rcpp and RcppArmadillo.
  • growfunctions supplies estimation Bayesian non-parametric dependent models for time-indexed functional data via either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations; it uses Rcpp and RcppArmadillo.
  • CARBayesST models Poisson log-linear models with spatio-temporal random effects.
  • RcppMLPACK provides R integration for the MLPACK machine learning library; it uses Rcpp and RcppArmadillo.
  • RLRsim provides exact (restricted) likelihood ratio tests for mixed and additive models which test the presence of variance components/nonparametric terms for models fit with the nlme, lme4, gamm4, mgcv and SemiPar.
  • tvd implements total variance denoising, a regularized denoising method which effectively removes noise from piecewise constant signals whilst preserving edges
  • DStree implements recursive partitioning for discrete-time survival and bagged trees.
  • DepthProc models data depth; it uses Rcpp and RcppArmadillo.
  • mkde provides functions to compute and visualize movement-based kernel density estimates (MKDEs) for animal utilization distributions in 2 or 3 spatial dimensions.
  • StereoMorph provides functions for the collection of 3D points and curves using a stereo camera setup.
  • remote implements functions for empirical orthogonal teleconnection analysis.
  • SelvarMix implements regularization for variable selection in model-based clusterning and discriminant analysis using Rcpp and RcppArmadillo.
  • cgAUG compute the AUC-type measure of Obuchowski.
  • bvarsv offers a bayesian analysis of vector autoregressive models with stochastic volatility and time-varying parameters.
  • lbfgs implements both a limited-memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) as well as a Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization routine.
  • The PP package estimates Person Parameter models.
  • iBATCGH implements integrative Bayesian analysis of transcriptomic and CGH data; it uses Rcpp and RcppArmadillo.
  • nabor wraps libnabo, a fast K Nearest Neighbour library for low dimensions; it uses Rcpp and RcppEigen.
  • DNAtools analyses forensic genetic DNA data by comparing all pairs of profiles in a DNA database.
  • The GUILDS package implements sampling formulas for the unified neutral model of biodiversity and biogeography, with or without guild structure.
  • copCAR fits three types of regression modesl for areal data; it uses Rcpp and RcppArmadillo.
  • recosystem implements a recommender system via matrix factorization based on the libmf library.
  • NHMM implements Bayesian NHMM modeling for multiple time series.
  • MAT simulates multidimensional adaptive testing; it uses Rcpp and RcppArmadillo.
  • PoweR computes power and level tables for hypothesis tests; it uses Rcpp and RcppArmadillo.
  • snipEM provides snipping methods for robust estimation and clusterng; it use Rcpp and RcppArmadilo.
  • StMoSim plots qq-norm plots with several gaussian simulations.
  • segmag contains functions to determine event boundares in event segmentaton experiments.
  • segmag contains functions to determine event boundares in event segmentaton experiments.
  • scrm simulates the evolution of biological sequences.
  • DetMCD computes a robust and deterministic esimate of location and scatter; it uses Rcpp and RcppEigen.
  • BayesFactor offers computation of Bayes factors for common designs.
  • fICA implements classical, reloaded and adaptive FastICA algorithms using Rcpp and RcppArmadillo.
  • pander provides an interface to pandoc and markdown report creation.
  • robustreg computes robust linear regression functions using Huber and Bisquare psi functions; it uses Rcpp and RcppArmadillo.
  • RealVAMS fits a multivariate value-added model (VAM) with normally distributed test scores and a binary outcome indicator; it uses Rcpp and RcppArmadillo.
  • myTAI provides a framework to perform phylotranscriptomics analyses for Evolutionary Developmental Biology research.
  • tagcloud computes tag and word clouds.
  • dfmta implements phase I/II adaptive dose-finding design for mta; it uses Rcpp and RcppArmadillo.
  • lpme implements two local polynomial estimators for the errors-in-variables problem; it uses Rcpp and RcppArmadillo.
  • dfcomb implements phase I/II adaptive dose-finding design for combination studies.
  • DetR offers a suite of deterministic and robust algorithms for linear regression; it uses Rcpp and RcppEigen.
  • mp implementation multidimensional projection techniques using Rcpp and RcppArmadillo.
  • RcppAnnoy provides bindings for the Annoy library for approximate nearest neighbours.
  • simPop simulates synthetic populations for survey data considering auxiliary information.
  • quantspec determines, smoothes and plots quantile (ie Laplace or copula) periodograms for univariate time series.
  • matchingMarkets implements a structural estimator to correct for the sample selection bias from observed outcomes in matching markets; it uses Rcpp and RcppArmadillo.
  • jiebaR provides Chinese text segmentation, keyword extraction and text tagging via the included cppjieba library.
  • iccbeta computes multilevel model intraclass correlation for slope heterogeneity; it uses Rcpp and RcppArmadillo.
  • cqrReg estimate quantile regression and composite quantile regression with adaptive lasso penalty; it uses Rcpp and RcppArmadillo.
  • GCPM analyzes default risk of credit risk models.
  • pedometrics contains functions to employ many tools and techniques used in the field of pedometrics.
  • ASPBay offers Bayesian inference on causal genetic variants; it uses Rcpp and RcppArmadillo.
  • rncl implements an interface to the Nexus Class library for phylogenetic tree file formats.
  • textreg performs n-gram Text Regression, ie a concise comparative summarization function for sparse regression on raw text, regressing a labeling vector onto a feature space consisting of all possible phrases.
  • V8 provides the V8 embedded JavaScript engine by Google.
  • urltools implements vectorised tools for URL handling and parsing.
  • timma offers target inhibition interaction using minimization and maximation averaging; it uses Rcpp and RcppArmadillo.
  • OneArmPhaseTwoStudy -- implements the planning, monitoring and evaluation of oncological phase -- two studies. --
  • RcppDL implements deep learning methods with many layers (deep learning), including dA (Denoising Autoencoder), SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and DBN (Deep Belief Nets).
  • GPareto implements Gaussian process regression models for Pareto fron estimation and optimization.
  • ddalpha computes depth-based classification and calculation of data depth.
  • FeatureHashing provides a method to transform features to vector using murmurHash.
  • reconstructr aids in reconstructing (web-data) sessions and provinding various metrics.
  • onlinePCA implements online principal components analysis; it uses Rcpp and RcppArmadillo.
  • strataG analyses population genetic haplotypic and genotypic data.
  • NAM implements nested association mapping for biparental and random populations.
  • ISOpureR computes the deconvolution of mixed tumor profiles; it uses Rcpp and RcppEigen.
  • penMSM estimates regularized multi-state models using L1 penalties.
  • mirtCAT implements computerized adaptive testing with with multidimensional item response theory; it uses Rcpp and RcppArmadillo.
  • SpatPCA provides regularized principle components analysis for spatial data; it uses Rcpp and RcppArmadillo.
  • partialAR fits time series models which consist of a sum of a permanent and a transient component.
  • RcppStreams brings access to the Streamulus library for stream event processing.
  • poisDoubleSamp computes confidence intervals with Poisson double sampling.
  • SVMMatch Causal Effect Estimation and Diagnostics with Support Vector Machines; uses Rcpp and RcppArmadillo.
  • Rlibeemd provides ensemble empirical mode decomposition (EEMD) and its conplete variant (CEEMDAN).
  • cccp implements optimization for cone constraind convex problems via cvxopt; it uses Rcpp and RcppArmadillo.
  • gaselect uses a genetic algorithm for variable selection in high-dimensions; it uses Rcpp and RcppArmadillo.
  • lsbclust implements least-squares bilinear clustering for three-way data.
  • readstata13 adds functions to read and write Stata 13 files.
  • tmg provides truncated multivariate Gaussian sampling using Hamiltonian Monte Carlo; it uses Rcpp and RcppEigen.
  • mbbefd computes Maxwell Bolzano Bose Einstein Fermi Dirac distribution and exposure curves.
  • Rborist implements an extensible and prallelizable Random Forests for scalable decision tree training and prediction; it uses Rcpp and RcppArmadillo.
  • FRESA.CAD implements Feature Selection Algorithms for Computer Aided Diagnosis; it uses Rcpp and RcppArmadillo.
  • FunChisq provides Chi-square tests for non-parametric functional dependencies.
  • rivr computes steady and unsteady open-channel flow and hydraulics.
  • stocks implements functions to compute maximum draw-down, Sharpe ratio, Sterling ratio, and other commonly-sed performance metrics.
  • RcppAPT interfaces the APT Package Management system on Debian-based systems.
  • multicool computes permutations of multisets in cool-lex order to generate integer partitions.
  • emIRT computes Expectation Maximization (EM) algorithms for estimating item response theory models.
  • haven imports data files from SPSS, Stata and SAS via the ReadStat C library.
  • Gmisc provides descriptive statistics, transition plots, and more.
  • graphicalVAR implements a graphical VAR for experience sampling data; it uses Rcpp and RcppArmadillo.
  • seismicRoll computes fast rolling functions for seismology.
  • glmgraph implements graph-constrained regularization for sparse generalized linear models; it uses Rcpp and RcppArmadillo.
  • staTools provides statistical tools for social network analysis.
  • psd produces adaptive power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency; it uses Rcpp and RcppArmadillo.
  • RoughSets helps analyse data through rough set and fuzzy rough set theories.
  • systemicrisk provides a toolbox for systemic risk based on liabilities matrices via a Gibbs sampler.
  • VarSelLCM implements variable selection for model-based clustering using the integrated complete-data likelihood of a latent class model; it uses Rcpp and RcppArmadillo.
  • Luminescence offers a collection of functions for Luminescence data analysis.
  • chopthin provides the chopthin resampler (which keeps a bound on the ratio between the largest and the smallest weights after resampling) for particle filters and sequential monte carlo methods.
  • gdm contains functions to fit, plot and summarize Generalized Dissimilarity Models.
  • PAFit computes nonparametric estimation of preferential attachment and node fitness in temporal complex networks.
  • relSim implements a relative simulator: A set of tools to explore the behaviour statistics used for forensic DNA interpretation when close relatives are involved.
  • quanteda delivers a fast and flexible toolset for managing, processing and quantitative analysis of textual data in R; it uses Rcpp and RcppArmadillo.
  • readr reads tabular or flat text files.
  • readxl reads xls or xlsw files from a popular spreadsheet application.
  • blockmodels estimates latent or stochastic block model estimation via a V-EM algorithm; it uses Rcpp and RcppArmadillo.
  • lifecontingencies offers financial and actuarial mathematics for life contingencies
  • RcppTOML parses configuration files in "Tom's Obvious Markup Language" (TOML).
  • SLOPE provides efficient procedures for sorted L1-penalized estimation.
  • markovchain implements functions and S4 methods for easy handling of discrete time Markov chains.
  • mixedMem provides tools for discrete multivariate mixed membership models; it uses Rcpp and RcppArmadillo.
  • rankdist implements distance based probability models for ranking data where supported distance metrics include Kendall distance and Weighted Kendall distance.
  • SEERaBomb creates SEER (Surveillance, Epidemiology, and End Result) and A-bomb data binaries from ASCII sources.
  • fbroc offers a fast boostrap for ROC curves and derived performance metrics.
  • sgd implements Stochastic Gradient Descent for large scale inference; it uses Rcpp and RcppArmadillo.
  • brms fits Bayesian Regression Models via Stan with a focus on glm models.
  • PPtreeViz provides tools for exploring projection pursuit classification trees; it uses Rcpp and RcppArmadillo.
  • odeintr wraps the Boost odeint library to provide ODE solvers on demand.
  • matchingR implements the Gale-Shapley algorithm for stable matching.
  • FSInteract computes Fast Searches for Interactions in large-scale data using the method of random intersection trees by Shah and Meinshausen.
  • redist implements Markov Chain Monte Carlo methods for redistricting simulations; it uses Rcpp and RcppArmadillo.
  • lamW provides both real-valued branches of the Lambert-W function.
  • ClustMMDD implements variable selection for clustering of multinomial models for discrete data.
  • Rphylopars implements phylogenetic comparative tools for missing data and within-species variation; it uses Rcpp and RcppArmadillo.
  • nonlinearTseries analyses nonlinear time series via generalized correlation dimension, information dimension, largest Lyapunov exponent, sample entropy and recurrence quantification analysis (RQA).
  • RcppFaddeeva computes various error functions of arbitrary complex arguments.
  • bayesm supports Bayesian inference for marketing and micro-econometrics; it uses Rcpp and RcppArmadillo.
  • BaBooN offers Bayesian bootstrap predictive mean matching for multiple and single imputation for discrete data; it uses Rcpp and RcppArmadillo computes various error functions of arbitrary complex arguments.
  • kdecopula implements kernel smoothing for bivariate copula densities; it uses Rcpp and RcppArmadillo.
  • TESS provides diversification rate estimation and fast simulation of reconstructed phylogenetic trees.
  • missDeaths analysis disease recurrence with missing at risk information using population mortality.
  • sbmSDP uses semidefinite programming to fit block models of equal block sizes; it uses Rcpp and RcppArmadillo.
  • kergp implements Gaussian Processes with customized covariance kernels.
  • primes tests whether a number is prime using Wilson's algorithm.
  • flam implements the fused lasso additive model which fits piecewise constant models with data-adaptive knots.
  • hts analyses and forecasts hierarchical and grouped time series
  • iptools manipulates, validates and resolves IP addresses.
  • raster provides geographic data analysis and modeling of gridded spatial data.
  • neuroim reads, writes, and processes brain imaging data.
  • signalHsmm predicts presence of signal peptides in eukaryotic protein using hidden semi-Markov models.
  • markophylo fits Markov chain models for phylogenetic trees; it uses Rcpp and RcppArmadillo.
  • coala provides a framework for coalescent simulation for biological sequences; it uses Rcpp and RcppArmadillo.
  • spsann optimizes sample configurations using spatial simulated annealing.
  • dbscan provides a fast implementation of the DBSCAN density-based cluster algorithm.
  • webreadr reads formatted access log files from several common web servers.
  • pcIRT estimates the multidimensional polytomous Rasch modeland the Continous Rating Scale model.
  • rstan interfaces the Stan package for Bayesian inference from R.
  • sparsereg provides sparse Bayesian models for regression, subgroup analysis and panel data; it uses Rcpp and RcppArmadillo.
  • satellite supplies various functions for handling and manipulating remote sensing data.
  • FastGP offers to efficiently use Gaussian processes; it uses with Rcpp and RcppEigen.
  • saturnin implements Bayesian inference of graphical model structures using spanning trees; it uses Rcpp and RcppEigen.
  • SparseFactorAnalysis provides scaling Count and Binary Data with Sparse Factor Analysis, it uses Rcpp and RcppArmadillo.
  • BayesComm estimates multivariate binary probit regression models analysing ecological communities; it uses Rcpp and RcppArmadillo.
  • EstHer estimates heritability in high-dimensional sparse linear mixed models; it uses Rcpp and RcppArmadillo.
  • rgeolocate provides geolocation information for IP addresses.
  • packcircles arranges non-overlapping circles in a rectangle.
  • rstpm2 implements the Stats function stpm2 (for flexible link-based survival models); it uses Rcpp and RcppArmadillo.
  • stm estimates structural topic models; it uses Rcpp and RcppArmadillo.
  • ranger implements a fast Random Forest classifyer particularly suited for high-dimensional data.
  • optmatch implements functions for optimal matching: distance based bipartite matching to reduce covariate imbalance between treatment and control groups in observational studies.
  • mcmcse computes Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings; it uses Rcpp and RcppArmadillo.
  • yakmoR provides a wrapper for the yakmo K-Means library.
  • olctools provides utilities for validating, encoding and decoding entries that follow the 'Open Location Codes' standard.
  • JacobiEigen implements the Jacobi (1846) algorithm for eigenvalues and eigenvectors of a real symmetric matrix in pure R and in C++.
  • The mcemGLM estimates generalized linear mixed models via Monte Carlo EM; it uses Rcpp and RcppArmadillo.
  • Rblpapi connects R with the Bloomberg system (for which a working installation is required).
  • The DescTools package collects various tools to describe data.
  • contoureR creates contour lines for a non-regular three-dimentsional series of points.
  • FastBandChol computes faster covariance matrix estimateby banding the Cholesky factor; it uses Rcpp and RcppArmadillo.
  • The mev package computes multivariate extreme value distributions; it uses Rcpp and RcppArmadillo.
  • lcopula provides estimation and random number generation for the Liouville copula.
  • imager implements fast processing of images in up to four dimensions based on CImg.
  • Langevin estimates drift and diffusion from time series for Langevin analysis; it uses Rcpp and RcppArmadillo.
  • SimReg performs Bayesian "Similarity Regression".
  • humainformat provides a parser for human names.
  • PanelCount computes randome effects and sample selection models for panel counting data; it uses Rcpp and RcppArmadillo.
  • BTLLasse models heterogeneity in paired comparison data; it uses Rcpp and RcppArmadillo.
  • glamlasso estimates with lasso penalization in large scale generalized linear array models; it uses Rcpp and RcppArmadillo.
  • CoxPlus provides a high-performance estimator for proportional hazards model; it uses Rcpp and RcppArmadillo.
  • RStoolbox contains functions for remote sensing image processing and analysis.
  • datafsm estimating finite state machine models from data.
  • tidyr tidies data via the 'gather' and 'spread' functions.
  • gRain models probability propagation in graphical independence networks; it uses Rcpp, RcppArmadillo and RcppEigen.
  • immer implements some item response models for multiple ratings, it uses Rcpp and RcppArmadillo.
  • ClusterStability assesses stability of individual object or clusters in partitioning solutions.
  • ChannelAttribution offers a Markov model for online multi-channel attribution problems using Rcpp and RcppArmadillo.
  • RNiftyReg implements image registration using the NiftyReg library; it uses Rcpp and RcppEigen.
  • TDA provides statistical tools for topological data analysis, persistent homology and density clustering.
  • cord computes community estimates in G-models via the Cord metric, it uses Rcpp and RcppArmadillo.
  • Rip46 contains utilities for converting IP4 and IP6 addresses.
  • cord offers a moving-window add-on for the plyr package.
  • cycleRtools has tools for analysing cycling data.
  • polyfreqs implements a Gibbs sampler for Bayesian population genomics in autopolyploids.
  • bWGR provides bagging whole-genome regression using a Gibbs sampler.
  • frailtySurv simulates and fits general semiparametric shared frailty models.
  • FIACH supplies useful functions for fRMI processing and retrospective noice control; it uses Rcpp and RcppArmadillo.
  • gaston focusses on genetic data manipulation, linear mixed models, and association testing.
  • prodlim implements nonparametric estimators for censored event history analysis.
  • starma identifies, estimates and diagnoses STARMA processes; it uses Rcpp and RcppArmadillo.
  • LANDD models network dynamics detection using liquid association.
  • TauStar computes the t* Statistic of Bergsma and Dassios (2014); it uses Rcpp and RcppArmadillo.
  • DiffusionRgqd provides inference and analysis for generalized quadratic diffusions; it uses Rcpp and RcppArmadillo.
  • EloChoice computes preference ratings for visual stimuli based on elo ratings; it uses Rcpp and RcppArmadillo.
  • fourPNO fits a four-parameter Bayesiean IRT model; it uses Rcpp and RcppArmadillo.
  • rags2ridges computes ridge estimations of precision matrices from high-dimensional data; it uses Rcpp and RcppArmadillo.
  • bigmemory manages massive matrices with share memory and memory-mapped files.
  • hit offers hierarchical inference testing linear models with correlated covariates.
  • bigtabulate extends 'bigmemory' with 'table', 'tapply', and 'split' support for 'big.matrix' objects.
  • gdtools adds utilities for graphical rendering.
  • moveHMM tracks animal movement using hidden Markov models; it uses Rcpp and RcppArmadillo.
  • batman convert categorical representations of logicals to actual logicals.
  • phylosignal explores the phylogenetic signal in continuous traits; it uses Rcpp and RcppArmadillo.
  • dina estimates the 'deterministic input, noisy and gate' (DINA) model via a Gibbs sampler; it use Rcpp and RcppArmadillo.
  • spatgraphs provides graph edhge computations for spatial point patterns.
  • Biocomb implements feature selection and classification with embedded validation procedures for biomedical data analysis.
  • textreuse detects text reuse and document similarity.
  • prclust implements penalized regression-based clustering methods.
  • tcR adds a platform for the advanced analysis of T cell receptor and immunoglobulin repertoires data.
  • synchronicity adds Boost mutex functionality.
  • steadyICA implements ICA and tests of independence via multivariate distance covariance.
  • simmer offers discreet event simulation.
  • fdasrvf has functions to support functional data analysis using the square root velocity framework.
  • rtkore integrates the STK++ "Statistical ToolKit" library.
  • smoof provides generators for single- and multi-objective test functions to benchmark (numerical) optimization algorithms.
  • clogitboost implements boosting for conditional logit models.
  • RcppCCTZ wraps the CCTZ timezone library from Google.
  • precrec calculate accurate precision-recall and ROC curves.
  • tsBSS provides estimates for the blind source separation of time series; it uses Rcpp and RcppArmadillo.
  • cIRT jointly models the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework; it uses Rcpp and RcppArmadillo.
  • MRS implements the multi-resolution scanning algorithm for comparison across distributions; it uses Rcpp and RcppArmadillo.
  • BacArena offers a simulation modeling framework for cellular communities; it uses Rcpp, RcppArmadillo and RcppEigen.
  • repolr fits linear models to repeated ordinal scores using GEE; it uses Rcpp and RcppArmadillo.
  • svglite implements a graphics device for scalable vector graphics.
  • rwfec simulates communications supporting forward error correction.
  • ADMMnet fits regularized linear and Cox models with selection of the number of non-zeros.
  • exif extracts EXIF metadata (ie camera make and model, ISO speed, the date-time the picture was taken) from JPEG images.
  • vita implements Variable Importance Testing Approaches (vita) using cross-validated random forest permutations.
  • jmcm estimates joint mean-covariance models for longtitudinal data; it uses Rcpp and RcppArmadillo.
  • rmumps wraps the MUMPS library for sparse linear algebra.
  • CFC implements a cause-specific framework for competing-risk analysis; it uses Rcpp and RcppArmadillo.
  • seqHMM estimates Hidden Markov Models for life sequences and other multivariate categorical time series; it uses Rcpp and RcppArmadillo.
  • HSAR provides a hierarchical spatial autoregressive model; it uses Rcpp and RcppArmadillo.
  • mediaK calculates mean distance association by k-nearest neighbor; it uses Rcpp and RcppEigen.
  • phonics provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others.
  • textmineR adds functions for text mining and topic modeling; it uses Rcpp and RcppArmadillo.
  • rem calculate endogenous network effects in event sequences and fit relational event models.
  • AbsFilterGSEA implements improved false positive control of gene-permuting GSEA with absolute filtering; it uses Rcpp and RcppArmadillo.
  • gjam provides generalized joint attribute modeling with a combinations of continuous and discrete data with Gibbs sampling; it uses Rcpp and RcppArmadillo.
  • stlplus offers enhanced seasonal decomposition of time series by loess.
  • rvg implements a vector graphics device (svg, drawingml) for R.
  • ggrepel provides repulsive text and label geoms for 'ggplot2' which help to avoid overlapping text labels.
  • rstanarm runs Bayesian 'Applied Regression Modeling' code via 'rstan' as pre-compiled regression models; it uses Rcpp and RcppEigen.
  • text2vec sets up a fast and modern framework for text vectorization and learning word embeddings.
  • gsEasy adds gene set enrichment analysis in R by interfacing the rank/score permutation based GSEA test.
  • ontologySimilarity calculates semantic similarities between ontological terms or sets of ontological terms.
  • drgee implements doubly robust generalized estimating equations; it uses Rcpp and RcppArmadillo.
  • prototest adds inference procedures for testing for group-wide signal in clusters of variables; it uses Rcpp and RcppArmadillo.
  • stplanr offers sustainable transport planning tools; it uses Rcpp and RcppArmadillo.
  • ph2bayes computes Bayesian single-arm phase II designs for binary outcomes.
  • icRSF provides a modified Random Forest Survival algorithm for variable importance in high dimensions.
  • DiffusionRjgqd provides inference and analysis for jump generalized quadratic diffusion processes; it uses Rcpp and RcppArmadillo.
  • easyVeryfication implements ensemble forecast verification for large data sets.
  • DDRTree projects data into a reduced dimensional space and construct a principal graph from the reduced dimension; it uses Rcpp and RcppEigen.
  • LambertW provides probabilistic models to analyze and gaussianize heavy-tailed, skewed data.
  • densityClust offers clustering by fast search and find of density peaks.
  • fractional displays numerical vector objects in their vulgar fractional form.
  • stpm provides stochastic models for the analysis of longitudinal data; it uses Rcpp and RcppArmadillo.
  • EBMAforecast implements ensemble methods for Bayesian model averaging forecasts.
  • VNM adds the V-algorithm and Newton-Raphson method to obtain multiple-objective optimal design.
  • tweenr interpolates data for smooth transitions (suitable for animations).
  • ECctmc simulates from endpoint-conditioned continuous time Markov chains; it uses Rcpp and RcppArmadillo.
  • noncompliance models causal inference in the presence of treatment noncompliance under the binary instrumental variable model.
  • ACEt estimates age modification effects on genetic and environmental variance components in twin models; it uses Rcpp and RcppArmadillo.
  • arrApply offers a high-performance variant of apply() for a fixed set of functions; it uses Rcpp and RcppArmadillo.
  • biganalytics adds analytical utility functions for bigmemory matrices.
  • netdiffuseR models diffusion of innovations via network analysis; it uses Rcpp and RcppArmadillo.
  • wrswoR implements weighted random sampling methods without replacement.
  • GiRaF samples from Gibbs Random Fields, specificallt the homogeneous Poots model; it uses Rcpp, RcppArmadillo and BH.
  • pdftools extracts text and data from PDF documents (by relying on the poppler library).
  • crawl fits continuous-time correlated random walk models to animal movement data; it uses Rcpp and RcppArmadillo.
  • bnnSurvival estimates bagged k-nearest neighbors survival prediction probabilities.
  • fastAdaboost provides a fast implementation of Adaboost for (binary) classification.
  • RSpectra interfaces the Spectra library for large-scale eigenvalue and SVD problems; it use Rcpp and RcppEigen.
  • PWD performs time-series regression using power weighted densities (pwd).
  • deepboost adds deep boosting model training, evaluation, predicting and hyper parameter optimising using grid search and cross validation.
  • mateable provides tools to simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential.
  • biglasso extends the lasso to bigmemory matrices; it uses Rcpp and RcppArmadillo.
  • rEDM does empiricial dynamic modeling of timeseries via time delay embedding for state-space reconstruction and nonlinear forecasting.
  • genie implements a new, fast and outlier-resistant hierarchical clustering algorithm.
  • glmmsr fits generalized linear mixed models via sequential reduction and other methods; it uses Rcpp and RcppEigen.
  • hunspell implements a spell checker and morphological analyzer library.
  • spray provides functionality for sparse arrays and multivariate polynomials.
  • Pijavski adds global univariate minimization of Lipschitz functions using Pijavski's method.
  • fdapace implements functional data analysis and empirical dynamics; it uses Rcpp and RcppEigen.
  • PenCoxFrail offers a regularization approach for Cox frailty models by penalization methods; it uses Rcpp and RcppArmadillo.
  • MatrixCorrelation computes and visualizes matrix correlation coefficients; it uses Rcpp and RcppArmadillo.
  • MiSPU provides microbiome based sum of powered score (MiSPU) tests.
  • sitmo provides the parallel pseudo random number generator 'sitmo'.
  • Countr estimates count process probabilities based on the Weibull distribution; it uses Rcpp and RcppArmadillo.
  • futureheatwaves finds, characterizes, and explores heat waves in climate projectionsis.
  • mcga implements machine coded genetic algorithms for real-valued optimization problems.
  • PAC computes partition-assisted clustering using for more robust and accurate downstream clustering.
  • Gmedian estimates geometric median, k-median clustering and robust median PCA; it uses Rcpp and RcppArmadillo.
  • hkevp adds spatial extreme value analysis via a hierarchical model; it uses Rcpp and RcppArmadillo.
  • collUtils is an auxiliary package for 'CollapsABEL' and provides low-level functions to process PLINK files.
  • tokenizers convert natural language text into tokens proving a consistent interface and compatibility with Unicode.
  • mvcluster implements multi-view bi-clustering; it uses Rcpp and RcppArmadillo.
  • roll offers parallel functions for rolling statistics on times; it uses Rcpp, RcppArmadillo and RcppParallel.
  • snowboot adds Bootstrap sampling and snowball methods for network inference.
  • fromo computes fast robust moments for vectors and matrices.
  • regsem performs regularization on structural equation models via ridge and lasso penalties; it uses Rcpp and RcppArmadillo.
  • BWStest computes the 'Baumgartner-Weiss-Schindler' two-sample test of equal probability distributions.
  • hierarchicalSets applies a set centric hierarchical clustering as a basis for a range of scalable visual representations.
  • icd offers tools for working with ICD-9 and ICD-10 codes, and finding comorbidities.
  • LassoBacktracking efficiently models interactions in high-dimensions.
  • blackbox performs black box optimization and exploration of parameter space; it uses Rcpp and RcppEigen.
  • erah adds automated spectral deconvolution, alignment, and metabolite identification in GC/MS-based untargeted metabolomics.
  • DeLorean implements the DeLorean model to estimate pseudotimes for single cell expression data.
  • eggCounts adds hierarchical models for faecal egg count data to assess anthelmintic efficacy.
  • tensorBSS offers blind source separation methods for tensor-valued observations; it uses Rcpp and RcppArmadillo.
  • minimaxdesign models minimax design and minimax projection design using clustering and particle swarm optimization; it uses Rcpp and RcppArmadillo.
  • protolite implements yet another serialization approach based on Protocol Buffers.
  • RcppNumerical contains several libraries for numerical integration and optimization; it uses Rcpp and RcppEigen.
  • grpSLOPE computes group-sorted L1 penalized estimation for adaptive selection in high-dimensionsal models; it uses Rcpp and RcppEigen.
  • mlmc provides an R and C++ implementation of multi-level Monte Carlo with support for multi-core parallel sampling.
  • nmfgpu4r wraps a non-negative matrix factorization CUDA library.
  • NPflow adds Bayesian nonparametrics for automatic gating of flow-cytometry data; it uses Rcpp and RcppArmadillo.
  • plac estimates Cox models via semi-parametric methods for left-truncated data; it uses Rcpp and RcppEigen.
  • recmap computes rectangular statistical cartograms using the RecMap MP2 heuristic.
  • surveybootstrap implements different tools for surveys with bootstraps; it uses Rcpp and RcppArmadillo.
  • BeviMed provides Bayesian evaluation of variant involvement in Mendelian disorders.
  • BigQuic computes big quadratic inverse covariance estimation to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem.
  • beanz computes Bayesian analysis of heterogeneous treatment effect; it uses Rcpp and RcppEigen.
  • gapfill fills missing values in satellite data.
  • radiomics provides a radiomic image processing toolbox to extract first and second order statistics from images.
  • OjaNP offers multivariate methods based on the Oja median and related concepts.
  • imputeMulti implements imputation methods for multivariate data.
  • rags2ridges does ridge estimation for VAR models; it uses Rcpp and RcppArmadillo.
  • SAMM estimates Gaussian linear mixed models; it uses Rcpp and RcppArmadillo.
  • spduration fits split-population duration (cure) regression models; it uses Rcpp and RcppArmadillo.
  • mcPAFit estimates node fitness from a single network snapshot by Markov Chain Monte Carlo.
  • Ryacas interfaces the Yacas computer algebra system.
  • saeRobust adds methods to methods to fit robust alternatives to commonly used models used in small area estimation.
  • BigVAR estimates VAR and VARX models with structured Lasso penalties for multivariate time series; it uses Rcpp, RcppArmadillo and RcppEigen.
  • feather reads and writes feather files, a lightweight binary columnar data store designed for maximum speed.
  • wCorr computes Pearson, Spearman, polychoric, and polyserial correlation coefficients, in weighted or unweighted form; it uses Rcpp and RcppArmadillo.
  • SpatMCA provides regularized maximum covariance analysis; it uses Rcpp, RcppArmadillo and RcppParallel.
  • fourierin computes Fourier integrals of one and two variables using the FFT; it uses Rcpp and RcppArmadillo.
  • BAMMtools analyses and visualises macroevolutionary dynamics on phylogenetic trees (using BAMM).
  • qwraps2 contains 'quick wraps' helper functions for data summaries and formatted regression results; it uses Rcpp and RcppArmadillo.
  • clusrank implements the Wilcoxon rank sum and signed sum tests for clustered data.
  • flan provides inference for mutation models via fluctuation analysis of mutant cell calls.
  • flars computes functional lars models; it uses Rcpp and RcppEigen.
  • dtwclust clusters times series with optimization for dynamic time warping.
  • DiffusionRimp offers inference and analysis for diffusion processes; it uses Rcpp and RcppArmadillo.
  • DLMtool simulates testing and implementation of data-limited fishery stock assessment.
  • extraDistr computes d/p/q/r funtions for a number of distributions.
  • ibm implements some (simple) individual based models for population dynamics models.
  • jtGWAS computes standardized Jonckheere-Terpstra test statistics in genome-wide analysis.
  • move visualizing and analyzing animal track data.
  • perccal implements double boostrap regression confidence intervals; it uses Rcpp, RcppArmadillo and RcppEigen.
  • sbrl provides scalable Bayesian list model algorithm.
  • RPtests computes goodness-of-fit tests for high-dimensional models and can test for a variety of misspecifications.
  • simstudy simulates data sets in order to explore modeling techniques or better understand data generating processes.
  • MESS contains 'mixed esoteric statistical scripts'; it uses Rcpp and RcppArmadillo.
  • synthACS adds synthetic microdata and spatial microsimulation modeling for American Community Survey (ACS) data.
  • glmBfp implements the Bayesian paradigm for fractional polynomials in glm models; it uses Rcpp and RcppArmadillo.
  • scoringRules adds scoring rules for parametric and simulated distribution forecasts.
  • OpenImageR provides an image processing toolkit for preprocessing, filtering and image recognition; it uses Rcpp and RcppArmadillo.
  • KernelKnn extends k-nearest neighbors algorithms via numerous kernel functions and distance metrics; it uses Rcpp and RcppArmadillo.
  • Rfast implements a collection of fast (utility) functions for data analysis; it uses Rcpp and RcppArmadillo.
  • MEGENA offers multiscale clustering of geometrical co-expression network data; it uses Rcpp and BH.
  • triebeard adds radix trees, or 'tries', key-value data structures optimised for efficient lookups.
  • rootWishart computes the distribution of the largest root for single and double Wishart settings; it uses BH and RcppEigen.
  • milr estimates multiple-instance logistic regression under lasso penalty; it uses Rcpp and RcppArmadillo.
  • sbfc offers a 'Selective Bayesian Forest Classifier' MCMC algorithm for feature selection and classification; it uses Rcpp and RcppArmadillo.
  • SuperRanker adds tools for analysing the aggreement of two or more rankings of the same items.
  • fasteraster processes rather images with vector recognition.
  • yuima simulates and tests stochastic differential equations.
  • IntegratedMRF implements integrated predictions using univariate and multivariate Random Forests.
  • magick adds bindings to ImageMagickm the most comprehensive open-source image processing library available.
  • RobustGaSP commputes robust parameter estimation and prediction of Gaussian stochastic process emulators; it uses Rcpp and RcppEigen.
  • bigReg offers generalized linear models (GLM) for large data sets; it uses Rcpp and RcppArmadillo.
  • GEEaSPU computes adaptive association tests for multiple phenotypes using generalized estimating equations (GEE); it uses Rcpp and RcppArmadillo.
  • l0ara implements sparse generalized linear models with L0 approximation for feature selection; it uses Rcpp and RcppArmadillo.
  • alakazam provides immunoglobulin (Ig) sequence lineage reconstruction, diversity profiling, and amino acid property analysis.
  • MultiBD offers computationally efficient functions for direct likelihood-based inference for partially-observed multivariate birth-death processes; it uses Rcpp and RcppParallel.
  • RcppGetconf interfaces libc to access system-level configuration values.
  • AhoCorasickTrie implements fast searching for multiple keywords in multiple texts.
  • bife estimates fixed effects binary choice models; it uses Rcpp and RcppArmadillo.
  • NetRep computes permutation testing network module preservation across datasets; it uses Rcpp and RcppArmadillo.
  • Cyclops provides cyclic coordinate descent for logistic, poisson and survival analysis; it uses Rcpp and RcppEigen.
  • inca implements integer calibration where specific functions round to integers for calibration problems; it uses Rcpp and RcppArmadillo.
  • oXim computes oxycline index from matrix echograms using median-filter and 2D-convolution based algorithms.
  • acebayes sets up optimal bayesian experimental design using the ACE algorithm; it uses Rcpp and RcppArmadillo.
  • ICAOD finds optimal designs via an imperialist competitive algorithm for optimal designs; it uses Rcpp and RcppEigen.
  • ph2bye calculates phase ii clinical trial design using Bayesian methods.
  • dfpk computes Bayesian dose-finding design using pharmacokinetics(pk) for phase i clinical trials; it uses Rcpp and RcppEigen.
  • rtk adds a rarefaction tool kit and allows normalization of very large abundance tables.
  • ccdrAlgorithm learns sparse Gaussian Bayesian networks via sparse regularization and block-cyclic coordinate descent.
  • btb estimates Kernel density 'beyond the border' dedicated to urban geography.
  • discretecdAlgorithm uses coordinate-descent algorithm for discrete data to learn Bayesian networks; it uses Rcpp and RcppEigen.
  • wordspace implements an interactive laboratory for research on distributional semantic models.
  • ctmcd estimates continuous-time markov chain parameters from discrete daya; it uses Rcpp and RcppArmadillo.
  • fastcmh implements a fast Cochran-Mantel-Haenszel test with significant pattern mining to detect intervals in binary genotype data.
  • ModelMetrics brings a collection of metrics for evaluating models written in C++.
  • BuyseTest implements generalized pairwise comparisons to compare two groups of observations in randomized trials; it uses Rcpp and RcppArmadillo.
  • GenomicTools collects tools for genomic data analysis with the focus on (e)QTL and MDR analysis; it uses Rcpp and RcppArmadillo.
  • phybreak analyses outbreaks with sequence data to simulate outbreaks.
  • GAS simulates, estimates and forecasts Generalized Autoregressive Score models; it uses Rcpp and RcppArmadillo.
  • IHSEP simulates an inhomogeneous self-exciting process (IHSEP), or Hawkes process, with a given (time-varying) baseline intensity and an excitation function.
  • catlearn offers formal modeling for psychology using independently-replicated data sets.
  • kamila implements clustering mixed-type data, specifically combinations of continuous and nominal data.
  • iprior runs linear regression with I-Priors; it uses Rcpp and RcppEigen.
  • indelmiss provides insertion deletion analysis while accountning for possible missing data.
  • JSM does semiparametric joint modeling of survival and longitudinal data; it uses Rcpp and RcppEigen.
  • MSGARCH estimates, simulates and forecasts Markov-Switching GARCH models; it uses Rcpp and RcppArmadillo.
  • energy computes E-statistics (energy) tests and statistics for multivariate and univariate inference.
  • IsoSpecR implements the IsoSpec algorithm for obtaining the most probable masses of a chemical compound.
  • propr calculates proportionality between vectors of compositional data.
  • ndjson implements a streaming JSON reader.
  • MetaheuristicFPA implementation a flower pollination algorithm in R; it uses Rcpp and RcppArmadillo.
  • factorstochvol adds a Markov chain Monte Carlo (MCMC) sampler for estimation of latent factor stochastic volatility models; it uses Rcpp and RcppArmadillo.
  • RNifti provides very fast access to images stored in the NIfTI-1 file format.
  • TreeBUGS offers hierarchical multinomial processing tree (MPT) modeling; it uses Rcpp and RcppArmadillo.
  • ClusterR implements Gaussian mixture models, K-means, mini-batch-Kmeans and K-medoids clustering; it uses Rcpp and RcppArmadillo.
  • lowmemtkmeans performs the trimmed k-means clustering algorithm with lower memory use; it uses Rcpp and RcppArmadillo.
  • IAPWS95 adds functions for thermodynamic water and steam properties based on the IAPWS Formulation 1995.
  • htmltidy cleans up or pretty prints gnarly HTML and XHTML.
  • JOUSBoost implements under/oversampling for probability estimation to be used with machine learning methods.
  • anytime converts input in 'any' form into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats.
  • bayesAB adds fast Bayesian methods that allow the user to analyze A/B test data in a Bayesian framework.
  • StepwiseTest implements a multiple testing method to control generalized family-wise error rate; it uses Rcpp and RcppArmadillo.
  • RSSL provides semi-supervised learning for classification; it uses Rcpp and RcppArmadillo.
  • qrencoder computes quick response codes (QR codes) used to authenticate transactions.
  • smooth provides forecasting using smoothing functions; it uses Rcpp and RcppArmadillo.
  • htdp provides bindings to horizontal time dependent positioning via htdp.
  • recexcavAAR offers a toolset for 3-d reconstruction and analysis of excavations.
  • Barycenter computers Wasserstein Barycenters; it uses Rcpp and RcppArmadillo.
  • dfphase1 plots phase I control charts with emphasis on distribution-free methods.
  • combiter provides iterators for combinations, permutations, and subsets.
  • bio3d offers utilities to process, organize and explore protein structure, sequence and dynamics data.
  • sBIC computes a singular BIC for multiple models.
  • smam implements statistical modeling of animal movements.
  • meteoland estimates weather variables at any position of a landscape.
  • graphql parses GraphQL and exports the resulting AST in JSON.
  • gamreg computes robust and sparse regression via gamma-divergence with L1, elastic net and ridge; it uses Rcpp and RcppArmadillo.
  • sharpeRratio offers an efficient moment-free estimator of the Sharpe ratio, or signal-to-noise ratio, for heavy-tailed data.
  • bmlm estimates multi-level models via stan; it uses Rcpp and RcppEigen.
  • GauPro fits Gaussian process models; it uses Rcpp and RcppArmadillo.
  • QuantTools adds enhanced quantitative (financial) modeling functions.
  • MAINT.Data implements methodologies for modelling interval data by Normal and Skew-Normal distributions; it uses Rcpp and RcppEigen.
  • unsystation computes a second-order stationarity test for time series based on unsystematic sub-samples; it uses Rcpp and RcppArmadillo.
  • jwutil adds various tools for data manipulation and testing; it uses Rcpp and RcppArmadillo.
  • moveWindSpeed estimates wind speeds from bird trajectories using maximum likelihood.
  • RI2by2 offers randomization inference for treatment effects on binary outcomes.
  • rpms fits a linear model to survey data in nodes obtained by recursive partitioning the data; it uses Rcpp and RcppArmadillo.
  • MultivariateRandomForest models and predicts multivariate cases using Random Forests.
  • lexRankr summarizes text via the LexRank algorithm.
  • sf supports the 'Simple Features' standard for encoding geospatial data.
  • raptr adds a representative and adequate prioritization toolkit for biodiversity; it uses Rcpp and RcppEigen.
  • BCSub provides a Bayesian semiparametric factor analysis model for gene expression subtype identification.
  • MatrixLDA fits penalized matrix-normal models for linear discriminant analysis with matrix-valued predictors; it uses Rcpp and RcppArmadillo.
  • diagis creates a diagnostic plot and multivariate summary statistics from importance sampling; it uses Rcpp and RcppArmadillo.
  • rtext offers R6 data objects support for text and data.
  • bayesImageS implemebts Bayesian methods for image segmentation using a Potts model; it uses Rcpp and RcppArmadillo.
  • tesseract offers R bindings to the open source optical-character recognition engines.
  • s2 connects R to Google's s2 library for geometry on the sphere.
  • ManifoldOptim adds an interface to ROPTLIB for Riemannian Manifold Optimization; it uses Rcpp and RcppArmadillo.
  • xyz offers the 'xyz' algorithm for fast interaction search in high-dimensional data to find strong interactions in almost linear time.
  • bsearchtools exposes C++ binary search functions (std::lower_bound, std::upper_bound) plus other convenience functions.
  • diffrprojects provides data structures and methods for measuring, coding, and analysing text within text corpora.
  • nprobust implements robust inference for local polynomial regression and kernel density estimation; it uses Rcpp and RcppArmadillo.
  • rucrdtw adds R bindings to the UCR suite for ultrafast subsequence search for best match under dynamic time warping and euclidean distance.
  • varband implements variable banding for modeling local dependence and estimating precision matrices; it uses Rcpp and RcppArmadillo.
  • pirate provides the generated effect modifier (GEM) method; it uses Rcpp and RcppArmadillo.
  • flockimplements process synchronization using file locks.
  • vdiffr adds visual regression testing and graphical diffing as an extension to the 'testthat' package.
  • medfate simulates Mediterranean forest dynamics using cohort-based description of vegetation.
  • EMbC implements expectation-maximization binary clustering for annotation of data; it uses Rcpp and RcppArmadillo.
  • gcKrig provides a variety of functions to analyze and model geostatistical count data with Gaussian copulas; it uses Rcpp and RcppArmadillo.
  • gdpc computes the generalized dynamic principal components of Peña and Yohai; it uses Rcpp and RcppArmadillo.
  • forecastSNSTS forecasts stationary and non-stationary time-series.
  • eDMAperforms dynamic model averaging with grid search as in Dangl and Halling; it uses Rcpp and RcppArmadillo.
  • ffstrean implements a adaptive forgetting factor scheme to estimates mean and variance to detect multiple changepoints in streaming data.
  • lclGWAS offers efficient estimation of a discrete-time multivariate frailty model for grouped survival data.
  • queuecomputer adds an efficient method for simulating queues with arbitrary arrival and service times; it uses Rcpp and RcppArmadillo.
  • ibmcraftr offers a toolkit to develop individual-based models in infectious disease.
  • ABCoptim implements Artificial Bee Colony (ABC) optimization.
  • bcROCsurface provides bias-corrected methods for estimating the ROC surface; it uses Rcpp and RcppArmadillo.
  • gwfaperforms geographically-weighted fractal analysis (gwfa) to calculate the local fractal dimension of a set of points.
  • NestedCategBayesImpute fits the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM).
  • benchr provides infrastructure to accurately measure and compare the execution time of R expressions.
  • valr implements genome interval arithmetic in R to read and manipulate genome intervals and signals.
  • ggforce accelerates ggplot2 via new stats and geoms.
  • Rdtq implements density tracking by quadrature (DTQ) for stochastic differential equations (SDEs).
  • strat provides the stratification index by Zhou (2012); it uses Rcpp and RcppArmadillo.
  • robets computes robust exponential smoothing forecasts as an alternative to ets().
  • SpaCCr offers genomic region detection via spatial convex clustering; it uses Rcpp and RcppArmadillo.
  • SmartSVA introduces a fast and efficient surrogate variable analysis (SVA) algorithm; it uses Rcpp and RcppEigen.
  • rIsing fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC; it uses Rcpp and RcppEigen.
  • DEploid deconvolute mixed genomes with unknown proportions using a modified Li and Stephens algorithm with Markov chain Monte Carlo (MCMC).
  • diffusr implementation network diffusion algorithms such as insulated heat propagation or Markov random walks; it uses Rcpp and RcppEigen.
  • RSQLite embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package.
  • esaddle fits the Extended Empirical Saddlepoint (EES) density; it uses Rcpp and RcppArmadillo.
  • GWmodel introduces geographically-weighted models for suitably localised calibration; it uses Rcpp and RcppArmadillo.
  • ramcmc implements robust adaptive Metropolis sampling as in Vihola (2012); it uses Rcpp and RcppArmadillo.
  • cstab selects number of cluster via normalized clustering instability.
  • robustlmm fits robust linear mixed effects models; it uses Rcpp and RcppEigen.
  • imagine provides an imaging engine to apply image filters to data matrices.
  • optimization offers a flexible multi-purpose optimizer with numerous input specifications.
  • phangorn estimates phylogenetic trees and networks using maximum likelihood, maximum parsimony, distance methods and Hadamard conjugation.
  • GLMaSPU implements an adaptive test on high-dimensional parameters in generalized linear models; it uses Rcpp and RcppArmadillo.
  • rrr implements reduced rank regressions along with diagnostics and graphics.
  • eulerr draws area-proportional Euler diagrams which generalize Venn diagrams; it uses Rcpp and RcppArmadillo.
  • bindrcpp provides an easy way to fill an environment with active bindings that call a C++ function.
  • divest converts images from the DICOM format into the NIfTI-1 format.
  • cubature offers adaptive multivariate integration over hypercubes; it uses Rcpp and RcppArmadillo.
  • GDINA implements the generalized DINA models for cognitive diagnostic analyses; it uses Rcpp and RcppArmadillo.
  • valuer prices variable annuity life insurance contracts by means of Monte Carlo methods; it uses Rcpp and RcppEigen.
  • LBSPR simulates expected equilibrium length composition using the length-based spawning potential ratio.
  • BTYDplus provides methods to describe and predict customers' purchase behavior in a non-contractual setting.
  • factorcpt identifies change-points in common and idiosyncratic components via factor modelling; it uses Rcpp and RcppArmadillo.
  • striprtf extracts plain text from RTF (Rich Text Format) files.
  • acc processes accelerometer data from uni-axial and tri-axial devices; it uses Rcpp and RcppArmadillo.
  • acrt robustly tests affine hypotheses on regression coefficients in models with autocorrelated errors; it uses Rcpp and RcppEigen.
  • ICtest estimates and tests the number of interesting components in linear dimension reduction; it uses Rcpp and RcppArmadillo.
  • qualpalr generates qualitative color palettes that are maximally distinct; it uses Rcpp, RcppArmadillo and RcppParallel.
  • ashr implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rates.
  • pgee.mixed performs simultaneous estimation and variable selection for correlated bivariate mixed outcomes; it uses Rcpp and RcppArmadillo.
  • PLMIX fits finite mixtures of Plackett-Luce models for partial top rankings/orderings within a Bayesian framework.
  • SpaTimeClus implements model-based clustering of spatio-temporal data via mixture models; it uses Rcpp and RcppArmadillo.
  • mixlink fits 'mixture link', an extension to glms where the outcome distribution is a finite mixture of densities; it uses Rcpp and RcppGSL.
  • ReIns contains functions from the book 'Reinsurance: Actuarial and Statistical Aspects'.
  • rlas reads and write 'las' and 'laz' binary files containing LiDAR data.
  • ETAS fits the space-time 'Epidemic Type Aftershock Sequence' (ETAS) model to earthquake catalogs using a stochastic declustering approach.
  • joineRML jointly models multivariate longitudinal data and time-to-event outcomes; it uses Rcpp and RcppArmadillo.
  • dynamichazard fits dynamic hazard models with binary outcomes; it uses Rcpp and RcppArmadillo.
  • ludic provides probabilistic record linkage with direct identifiers; it uses Rcpp and RcppArmadillo.
  • lidR adds airborne LiDAR data manipulation and visualization.
  • BAMBI fits and simulates mixtures of univariate and bivariate angular distributions; it uses Rcpp and RcppArmadillo.
  • semver offers tools and functions for parsing, rendering and operating on semantic version strings.
  • testforDEP provides dependence tests for two variables.
  • textTinyR offers text processing for small and big data files; it uses Rcpp, RcppArmadillo and BH.
  • xslt extends the xml2 package by transforming XML documents via XSL stylesheets.
  • fst offers fast serialization serialization of data.frame objects.
  • robCompositions implements robust estimation for compositional data.
  • microseq adds basic functions for microbial sequence data analysis.
  • mrfDepth computes depth measures in multivariate, regression and functional settings; it uses Rcpp and RcppEigen.
  • baitmet automates quantification of metabolites.
  • kdevine computes multivariate kernel density estimation with Vine copulas.
  • ziphsmm fits zero-inflated Poisson hidden (semi-)Markov models; it uses Rcpp and RcppArmadillo.
  • pdSpecEst offers positive-definite wavelet-based multivariate spectral analysis; it uses Rcpp and RcppArmadillo.
  • multinet implements functions for the creation/generation and analysis of multilayer social networks.
  • TLMoments calculate empirical trimmend L-moments of arbitrary order and trimming, and converts them to distribution parameters.
  • padr transforms datetime data into a format ready for analysis.
  • MADPop analyses population differences using Major Histocompatibility Complex (MHC) genotypes of samples having a variable number of alleles.
  • grattan supplies a series of functions focused on costing and evaluating Australian tax policy.
  • Rlabkey exchanges data with a LabKey server.
  • SpecsVerification is a collection of routines with an emphasis on comparitive verification of ensemble forecast; it uses Rcpp and RcppArmadillo.
  • wicket implements tools to process 'well-known text' (WKT) spatial data.
  • hBayesDM fits an array of decision-making tasks in a hierarchical Bayesian framework; it uses Rcpp and RcppEigen.
  • beyondWhittle implements Bayesian spectral inference for stationary timeseries.
  • skm solves the selective k-means; it uses Rcpp, RcppParallel and RcppArmadillo.
  • nse offers multiple ways to calculate numerical standard error (NSE) of univariate time series.
  • classifierplots ; it uses Rcpp and RcppArmadillo.
  • fastJT computes efficient Jonckheere-Terpstra test statistics for robust machine learning and genome-wide association studies.
  • penalized fits high-dimensional penalized (lasso, fused lasso, ridge) regresion models; it uses Rcpp and RcppArmadillo.
  • alphabetr implements algorithms for high-throughput sequencing of antigen-specific T cells.
  • gbp adds basic infrastructure and several algorithms for 1d-4d bin packing problem; it uses Rcpp and RcppArmadillo.
  • MAVE implements several methods for dimension reduction; it uses Rcpp and RcppArmadillo.
  • reads 'untidy' Excel files into R; it uses Rcpp and RcppArmadillo.
  • palm fits point process models using the Palm likelihood.
  • iBST fits bagging survival trees on a mixture of populations.
  • PhylogeneticEM implements an automatic shift detection method for trait evolution models; it uses Rcpp and RcppArmadillo.
  • KoulMde fits via Koul's minimum distance estimation in linear regression and autoregression model by coordinate descent algorithm.
  • prophet provides an automated forecasting procedure for time series based on an additive model with non-linear trends.
  • grove computes functional denoising and functional ANOVA through wavelet-domain Markov groves; it uses Rcpp and RcppArmadillo.
  • odbc connect to ODBC-compatible databases using the DBI interface.
  • BayesianTools implements general-purpose MCMC and SMC samplers and tools for Bayesian statistics.
  • RcppHMM collects functions to evaluate sequences, decode hidden states and estimate parameters from a discrete-time Hidden Markov Models.
  • mousetrap offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
  • ipft implements algorithms and utility functions for indoor positioning using fingerprinting techniques.
  • pacotest tests for partial copulas and the simplifying assumption in vine copulas.
  • opusminer provides an R interface to the OPUS Miner algorithm and implementation.
  • dlib connects R to the DLib toolkit for machine learning and computer vision algorithms.
  • stdvectors creates and manipulates C++ std::vector objects from R.
  • sppmix models spatial Poisson processes where the intensity surface is analogous to a finite additive mixture; it uses Rcpp and RcppArmadillo.
  • optiSel implements a framework for the optimization of breeding programs via optimum contribution selection; it uses Rcpp and RcppArmadillo.
  • planor generates factorial designs, including fractional designs, orthogonal block designs, and more; it uses Rcpp and RcppArmadillo.
  • ggraph implements the grammar of graphics for graphs and networks.
  • dynsbm offers a dynamic stochastic block model for the evolution of nodes through time; it uses Rcpp and RcppArmadillo.
  • mixR performs maximum likelihood estimation for finite mixture models.
  • interflex performs diagnostic tests of multiplicative interaction models; it uses Rcpp and RcppArmadillo.
  • tm provides a framework for text-mining applications with R.
  • DiffNet detects statistically significant changes in complex biological networks; it uses Rcpp and RcppEigen.
  • observer manipulates Microsoft Word and PowerPoint Documents.
  • pinbasic offers fast and stable esitimation of the probability of informed trading.
  • rdist calculates pairwise distance using a common framework; it uses Rcpp and RcppArmadillo.
  • FSelectorRcpp implements the 'FSelector' entropy-based feature selection algorithm; it uses Rcpp and RcppArmadillo.
  • cpr implements control polygon reduction and control net reduction for parsimonious B-spline regressions; it uses Rcpp and RcppArmadillo.
  • FRK offers fixed-rank kriging for spatial/spatio-temporal modelling and prediction.
  • riskRegression provides risk regression models for survival analysis with competing risks; it uses Rcpp and RcppArmadillo.
  • BNSL implements Bayesian network structure learning.
  • gsynth provides a generalized synthetic control method: causal inference with interactive fixed-effect models; it uses Rcpp and RcppArmadillo.
  • mrgsolve simulates from ODE-based population pk/pd and systems pharmacology models; it uses Rcpp, BH and RcppArmadillo.
  • POUMM implements a phylogenetic Ornstein-Uhlenbeck mixed model; it uses Rcpp and RcppArmadillo.
  • reticulate provides a bi-directional interface between R and Python.
  • gee4 estimates generalized estimating equations; it uses Rcpp and RcppArmadillo.
  • kohonen offers supervised and unsupervised self-organising maps (SOMs).
  • CNull implements fast algorithms for frequency-preserving Null models in ecology.
  • graphkernels adds a fast C++ implementation of various graph kernels.
  • treespace explores the distribution of phylogenetic trees.
  • supc computes via the Self-Updating Process Clustering algorithm.
  • Rvoterdistance calculates the distance between voter and multiple polling locations.
  • bayesDP augments data with historical controls using the Bayesian discoint prior; it uses Rcpp and RcppArmadillo.
  • CVR performs canonical variate regression (CVR) for two sets of covariates and a univariate response; it uses Rcpp and RcppArmadillo.
  • frailtyEM fits shared frailty models with a semi-parametric baseline hazard with the EM algorithm.
  • multdyn estimates multivariate graphical model for multidimensional time series with time-varying effective connectivity; it uses Rcpp and RcppArmadillo.
  • secure fits sparse factor regression using sequential estimation; it uses Rcpp and RcppArmadillo.
  • varbvs adds fast algorithms for fitting Bayesian variable selection models and computing Bayes factors.
  • icenReg offers regression models for interval censored data; it uses Rcpp and RcppEigen.
  • joinXL performs join queries on Excel files; its use of Rcpp is spurious.
  • mafs implements meta-forecasting; ; its use of Rcpp is spurious.
  • OpenMx provides extended structural equation modelling; it uses Rcpp and RcppEigen.
  • RmixmodCombi combines mixture components for clustering; its use of Rcpp is spurious.
  • flexsurv estimate flexible parametric survival and multi-state models for time-to-event data.
  • geojsonR processes GeoJSON objects per RFC 7945 via the 'json11' library; it uses Rcpp and RcppArmadillo.
  • CircularDDM computes circular drift-diffusion models; it uses Rcpp and RcppArmadillo.
  • SMMA provides soft maximin estimation for large scale array-tensor models; it uses Rcpp and RcppArmadillo.
  • GenomicMating implements an efficient breeding by genomic mating algorithm; it uses Rcpp and RcppArmadillo.
  • MCMCprecision calculates precision of discrete parameters in transdimensional MCMC; it uses Rcpp, RcppArmadillo and RcppEigen.
  • ctsem adds continuous-time structural equation modeling.
  • BART fits Bayesian Additive Regression Trees for flexible nonparametric modeling.
  • imputeTS imputes missing values in univariate time series.
  • vennplot calculates and plots Venn diagrams in two and three dimensions.
  • GRADAG uses genetic algorithms to learn sparse acyclic directed graphs; it uses Rcpp and RcppArmadillo.
  • imp4p analyse missing value mechanisms and imputes data for bottom-up MS-based proteomics.
  • PRIMME adds an interface to the PRIME eigenvalue and SVD library.
  • mnis gives easy downloading capabilities for the members' name information service operated by the UK parliament.
  • ompr models and solves mixed integer linear programs.
  • icosa computes global triangular and penta-hexagonal grids based on tessellated icosahedra.
  • cna provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA).
  • RcppQuantuccia links R with Quantuccia, the headers-only subset of QuantLib.
  • Rsampletrees offers MCMC sampling of gene genealogies conditional on genetic data.
  • kernelboot calculates smoothed bootstrap and random generation from kernel densities.
  • HardyWeinberg adds statistical tests and graphics for Hardy-Weinberg equilibria.
  • autothresholdr provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users.
  • GGIR is a tool to process and analyse data collected with wearable raw acceleration sensors.
  • idem offers inference in randomized controlled trials with death and missingness; it uses Rcpp and RcppEigen.
  • trackdem can obtain population density and body size structure from video material or image sequences; it uses Rcpp and RcppArmadillo.
  • partialCI analysis partially cointegrated time series.
  • philentropy computes 46 optimized distance and similarity measures for comparing probability functions.
  • cctools implements the continuous convolution trick in nonparametric estimation; it uses Rcpp and RcppArmadillo.
  • purrrlyr contains tools from the intersection of purrr and dplyr.
  • Peptides calculates indices and theoretical physiochemical properties of protein sequences.
  • DataGraph exports either '.dtable' or '.dtbin' files that can be read by DataGraph, a graphing and analysis application for macOS.
  • kmcudaR implements "Yinyang K-Means" using CUDA and OPneMP 4.0.
  • anMC efficiently computes orthant probabilities of high-dimensional Gaussian vector; it uses Rcpp and RcppArmadillo.
  • miRNAss performs genome-wide discovery of pre-miRNAs with few labeled examples using machine learning methods.
  • gastempt fits gastric emptying time series from MRI or scintigraphic measurements; it uses Rcpp and RcppEigen.
  • olsrr adds tools for teaching and learning ordinary least squares regression.
  • LAM contains procedures for latent variable modelling with a particular focus on multilevel data.
  • fastTextR interfaces the 'fastText' library for text classification and word vector learning.
  • LocalControl generates high-quality comparative effectiveness evidence via nonparametric approaches to address biases and confounding.
  • poisbinom provides the p/d/q/r functions for the Poisson-Binomial distribution.
  • hommel implements methods for closed testing with Simes inequality, in particular Hommel's method.
  • GeneralizedUmatrix computes credible visualization for two-dimensional projections of data; it uses Rcpp and RcppArmadillo.
  • osmdata download and imports OpenStreetMap ('OSM') data as 'sf' or 'sp' objects.
  • castor offers efficient comparative phylogenetics on large trees.
  • stepR allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known.
  • PhenotypeSimulator allows for the flexible simulation of phenotypes under different models.
  • brlrmr estimates bias reduction with missing binary response.
  • coga computes convolutions of the Gamma distribution.
  • rtdists provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation).
  • piton wraps the 'Parsing Expression Grammar Template Library' for generating parsing expression grammars.
  • rust uses the generalized ratio-of-uniforms method to simulate from univariate and multivariate distributions; it uses Rcpp and RcppArmadillo.
  • nandb offers number and brightness image analysis.
  • libstableR computes fast and accurate evaluations, random draws and estimation for the skew stable distribution.
  • rangeBuilder implements occurrence filtering, geometric + taxonomic standardization and generation of species range polygons.
  • cld2 interfaces Google's Compact Language Detector 2.
  • parallelDist calculates distance matrices for continuous, binary, and multi-dimensional input matrices; it uses Rcpp and RcppArmadillo.
  • themetagenomics explores thematic structure and predicted functionality of 16s rRNA Amplicon Data.
  • clampSeg implements the non-parametric JUmp Local dEconvolution Segmentation filter JULES to idealise patch clamp recordings.
  • cld3 interfaces Google's Compact Language Detector 3.
  • robustBLME robustly fits linear mixed effects models through weighted ML and ABC; it uses Rcpp and RcppArmadillo.
  • GPGame solves complex game problems using Gaussian processes.
  • RcppMsgPack includes the msgpack-c C/C++ headers for efficient binary serialization.
  • meshimp simplifies surface triangular meshes with associated distributed data; it uses Rcpp and RcppEigen.
  • DPWeibull estimates Dirichlet process Weibull mixture model for survival data.
  • genepop offers population genetic data analysis using 'Genepop'.
  • walker performs fully bayesian linear regression where regression coefficients vary over "time"; it uses Rcpp, RcppEigen and BH.
  • catSurv provides methods of computerized adaptive testing for survey researchers; it uses Rcpp, RcppArmadillo and RcppGSL.
  • interp does bivariate data interpolation on regular and irregular grids, either linear or using splines; it uses Rcpp and RcppEigen.
  • ECFsup tests the equality of several covariance functions of functional data; it uses Rcpp and RcppArmadillo.
  • momentuHMM offers maximum likelihood analysis of animal movement behavior using multivariate hidden Markov models; it uses Rcpp and RcppArmadillo.
  • womblR models spatiotemporal boundary detection for areal unit data; it uses Rcpp and RcppArmadillo.
  • diceR performs cluster analysis using an ensemble clustering framework.
  • POMaSPU evaluates an association between an ordinal response and multiple phenotypes; it uses Rcpp and RcppArmadillo.
  • SFS implements the Similarity-First Search combinatorial algorithm (SFS); it uses Rcpp and RcppArmadillo.
  • JumpTest focuses on jump detection via a fast simulation model for stochastic volatility model; it uses Rcpp and RcppEigen.
  • rrpack implements multivariate regression methodologies with a focus on reduced-rank regression (RRR); it uses Rcpp and RcppArmadillo.
  • aphid uses hidden Markov models and profile HMMs for biological sequence analysis.
  • bssm implements efficient methods for Bayesian inference of state space modesl; it uses Rcpp, BH and RcppArmadillo.
  • later adds utilities for delaying function execution until after the R execution stack has emptied.
  • SeqKat detects kategis, a localized hyermutation.
  • cytometree computes automated cytomety gating; it uses Rcpp and RcppArmadillo.
  • tidygenomics adds tidy verbs for dealing with genomic data frames.
  • goldi does gene ontology label discernment and identification; it uses Rcpp and RcppArmadillo.
  • hyper2 offers a suite of routines for the hyperdirichlet distribution.
  • sparsio adds I/O operations with sparse matrices via the fast 'SVMlight' reader and writer.
  • rxylib provides access to the 'xylib' C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.
  • survHE contains a suite of functions for survival analysis in health economics. ; it uses Rcpp and RcppArmadillo.
  • abcrf Performs approximate Bayesian computation model choice and parameter inference via random forests; it uses Rcpp and RcppArmadillo.
  • adeba does univariate and multivariate non-parametric kernel density estimation with adaptive bandwidth using a Bayesian approach.
  • FastSF offers fast structural filtering with a L0 penalty; it uses Rcpp and RcppArmadillo.
  • grf adds generalized random forests for estimation and inference.
  • IncDTW implements incremental calculation of the DTW (Dynamic Time Warping) distance of two vectors.
  • landscapeR simulates categorical maps on actual geographical realms.
  • msde implements an MCMC sampler for the posterior distribution of arbitrary time-homogeneous multivariate SDE models.
  • SobolSequence provides Sobol sequence with better two-dimensional projections.
  • SuperGauss offer 'super fast' likelihood inference for stationary Gaussian times series; it uses Rcpp and RcppEigen.
  • teachingApps contains apps and gadgets for teaching data analysis and statistics concepts.
  • tidygraph offers a tidy API for graph manipulation.
  • RcppTN generate random deviates from and calculate moments of a Truncated Normal distribution using the algorithm of Robert (1995).
  • datastructures implements advanced data structures such as hashmaps, heaps, or queues; it uses Rcpp and BH.
  • fastLink implements a Fellegi-Sunter probabilistic record linkage model; it uses Rcpp, RcppEigen and RcppArmadillo.
  • LowWAFOMNX implements the Low Walsh Figure of Merit (WAFOM) sequence based on Niederreiter-Xing sequence.
  • WGCNA performs weighted correlation network analysis on high-dimensional data.
  • SubTite chooses subgroup specific optimal doses in a phase I dose finding clinical trial; it uses Rcpp and RcppArmadillo.
  • RBesT adds Bayesian evidence synthesis tools; it uses Rcpp and RcppEigen.
  • ClusVis offers Gaussian-based visualization of clustering achieved by mixture model on any type of data; it uses Rcpp and RcppArmadillo.
  • LowWAFOMSobol implements a Low Walsh Figure of Merit (WAFOM) sequence based on Sobol sequence.
  • RPresto implements a DBI-compliant interface to Presto, an open-source distributed SQL engine.
  • swmmr interfaces the Storm Water Management Model of the US EPA.
  • bayeslm offers efficient sampling for Gaussian linear regression with arbitrary priors; it uses Rcpp and RcppArmadillo.
  • revdbayes provides functions for the Bayesian analysis of extreme value model; it uses Rcpp and RcppArmadillo.
  • DrImpute imputes dropout events in single-cell RNA-sequencing data; it uses Rcpp and RcppArmadillo.
  • vennLasso provides variable selection and estimation routines for models stratified by binary factors; it uses Rcpp and RcppEigen.
  • APML0 fits linear and Cox models via an augmented penalized minimization method; it uses Rcpp and RcppEigen.
  • bsplinePsd implements a Metropolis-within-Gibbs MCMC sampler for Bayesian nonparametric spectral density estimation.
  • coda.base adds a basic set of functions for compositional data analysis; it uses Rcpp and RcppArmadillo.
  • social quantifies and visualizes social autocorrelation.
  • BiDAG implements a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs).
  • ProjectionBasedClustering clusters via projections based on the generalized U*-matrix visualization of a topographic map.
  • curstatCI computes the (smoothed) ml estimator and pointwise bootstrap CIs for the distribution function under current status data.
  • iRF iteratively grows feature weighted random forests and finds high-order feature interactions in a stable fashion.
  • dHSIC implements the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it.
  • optiSolve solves linear, quadratic, and rational programs with linear, quadratic, and rational constraints.
  • ordinalForest runs ordinal regression with high and low dimensional data.
  • GreedyEPL summarises collection of partitions into single optimal partition under expected posterior loss; it uses Rcpp and RcppArmadillo.
  • RcppXPtrUtils provides helper functions to compile C++ functions and retrieve an 'XPtr' to be passed to other C++ components.
  • VARtests implements the wild bootstrap tests for autocorrelation in VAR models; it uses Rcpp and RcppArmadillo.
  • dggridR computes discrete global grids for spatial analysis.
  • ICRanks constructs simultaneous confidence intervals for ranks.
  • BCEE implements the Bayesian causal effect estimation algorithm; it uses Rcpp and RcppArmadillo.
  • SpaDES.tools provides GIS/map utilities and additional modeling tools for cellular automata and agent based models in 'SpaDES'.
  • knor offers a non-uniform memory access ('NUMA') optimized, parallel k-means routine.
  • GrpString converts series of event names to strings, finding common patterns, discovering featured patterns and more.
  • elo calculates Elo ratings and rankings of any two-team-per-matchup system, evaluates matchups, rating updates, and win probabilities.
  • esreg simultaneously models quantile estimate and expected shortfall; it uses Rcpp and RcppArmadillo.
  • fuser enables high-dimensional penalized 'lasso' regression across heterogeneous subgroups; it uses Rcpp and RcppEigen.
  • odpc compute the one-sided dynamic principal components useful for forecasting; it uses Rcpp and RcppArmadillo.
  • skpr generates and evaluates D, I, A, Alias, E, T, and G optimal designs; it uses Rcpp and RcppArmadillo.
  • rrecsys generates rating predictions and lists of recommended items from recommendation datasets.
  • DatabionicSwarm implementing interacting agent populations which may exhibit self-organization and swarm intelligence.
  • STARTdesign calibrates the design parameters for single-to-double arm transition design for phase II clinical trials.
  • Seurat provides tools for quality control, analysis, and exploration of single cell RNA sequencing data; it uses Rcpp and RcppEigen.
  • StepSignalMargiLike provides function to estimate multiple change points using marginal likelihood method
  • Eagle implements multiple-locus association mapping on a genome-wide scale; it uses Rcpp and RcppEigen.
  • GBJ offers the Generalized Berk-Jones test for set-based inference in genetic association studies; it uses Rcpp and BH.
  • rDotNet implements a low-level interface to '.NET' along the lines of the R C .call interface.
  • rvinecopulib interfaces a high performance C++ version of 'VineCopula'; it uses Rcpp, RcppEigen and BH.
  • BNPMIXcluster adds a Bayesian nonparametric approach for clustering; it uses Rcpp and RcppArmadillo.
  • bigstatsr provides file-backed big matrices via memory-mapping; it uses Rcpp, BH and RcppArmadillo.
  • udpipe adds tokenization, parts-of-speech tagging, lemmatization and dependency parsing with the 'UDPipe' 'NLP' toolkit.
  • RGeode provides a hybrid Bayesian method for geometric density estimation.
  • VeryLargeIntegers adds a multi-precission library to store and manage arbitrarily big integers without loss of precision.
  • BosonSampling implements Boson sampling; it uses Rcpp and RcppArmadillo.
  • FDRSeg estimates step functions via multiscale inference with controlled false discovery rate (FDR).
  • scanstatistics detects anomalous space-time clusters using the scan statistics methodology; it uses Rcpp and RcppArmadillo.
  • mclustcomp implements measures to compare clusters; it uses Rcpp and RcppArmadillo.
  • xtensor adds headers for the 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions.
  • lime adds 'Local Interpretable Model-Agnostic Explanations' for black-box models; it uses Rcpp and RcppEigen.
  • EAinference estimates augmentation methods for statistical inference on high-dimensional data; it uses Rcpp and RcppArmadillo.
  • vegclust performs fuzzy clustering of vegetation data.
  • JMbayes jointly models longitudinal and time-to-event data under a Bayesian approach; it uses Rcpp and RcppArmadillo.
  • binaryGP fit and predict a Gaussian process model with (time-series) binary response; it uses Rcpp and RcppArmadillo.
  • cartography covers cartographic representations such as proportional symbols, chroropleth, typology, flows or discontinuities maps.
  • dng provides density, distribution function, quantile function and random generation for the split-t distribution.
  • orthoDr uses an orthogonality constrained optimization algorithm for dimension reduction problems;it uses Rcpp and RcppArmadillo.
  • Rdimtools provides a collection of linear and nonlinear dimension reduction techniques; it uses Rcpp and RcppArmadillo.
  • augSIMEX implements the augmented Simulation-Extrapolation (SIMEX) algorithm.
  • spiderbarparses and tests robots exclusion protocol files and rules.
  • DPP performs inference of parameters of Normal distributions from a mixture of Normals.
  • dodgr computes distances on dual-weighted directed graphs using priority-queue shortest paths.
  • hetGP performs Gaussian process regression with heteroskedastic noise.
  • qGaussian provides d/p/q/r functions for the q-gaussian distribution with parameters mu and sig.
  • repfdr estimates Bayes and local Bayes false discovery rates for replicability analysis.
  • Rlinsolve iteratively solves systems of (sparse) linear equations; it uses Rcpp and RcppArmadillo.
  • fRLR fits set of repeated linear regressions faster.
  • transport solves optimal transport problems.
  • incgraphprovides efficient and incremental graphlet counting for network optimization; it uses Rcpp and BH.
  • corpustools focuses on tokenized text formats for text analysis.
  • rENA offers epistemic network analysis; it uses Rcpp, RcppArmadillo, RcppParallel and RcppEigen.
  • RMariaDB implements a 'DBI'-compliant interface to 'MariaDB' and 'MySQL' databases.
  • RxODE facilitates simulating from ODE-based models; it uses Rcpp and RcppArmadillo.
  • RmecabKo interfaces the Eunjeon Project for part-of-speech tagging of Korean text.
  • HistDAWass performs histogram-valued data analysis; it uses Rcpp and RcppArmadillo.
  • rerf implements Random Forester by Tomita; it uses Rcpp, RcppArmadillo and RcppZiggurat.
  • kvh reads and writes files in key-value-hierarchy format.
  • onemap constructs of genetic maps in experimental crosses: Full-Sib, RILs, F2 and Backcrosses.
  • SNPknock generates knockoff variables from discrete Markov chains and hidden Markov models.
  • meaRtools offers core algorithms for micro-electro array (MEA) analysis.
  • geoops adds tools for 'GeoJSON' objects topology calculations and manipulations.
  • ANN2 implements an artificial neural networks for anomaly detection; it uses Rcpp and RcppArmadillo.
  • regnet uses network-based regularization for generalized linear models; it uses Rcpp and RcppArmadillo.
  • SILGGM offers inference for large-scale Gaussian graphical models in gene networks.
  • CovTools collects geometric and inferential tools for analysis of covariance structures; it uses Rcpp and RcppArmadillo.
  • fdadensity adds functional data analysis for density functions by transformation to a hilbert space.
  • RZigZag implements the Zig-Zag algorithm with subsampling and control variates; it uses Rcpp and RcppEigen.
  • GreedySBTM performs clustering on the nodes of an undirected binary dynamic network; it uses Rcpp and RcppArmadillo.
  • HHG implenents the Heller-Heller-Gorfine ('HHG') tests for multivariate k-sample homogeneity and independence.
  • securitytxt identifies and parses web security policies files.
  • tvR provides tools for denoising noisy signal and images via Total Variation Regularization; it uses Rcpp and RcppArmadillo.
  • detrendr permits detrending of images; it uses Rcpp and RcppParallel.
  • FarmTest performs robust multiple testing for means in the presence of known and unknown latent factors; it uses Rcpp and RcppArmadillo.
  • basad does Bayesian variable selection with shrinking and diffusing priors; it uses Rcpp and RcppEigen.
  • RcppAlgos adds tools for combinatorics and computational mathematics.
  • PieceExpIntensity fits a Bayesian model to find changepoints based on rates and count data; it uses Rcpp and RcppArmadillo.
  • dynfrail fits semiparametric dynamic frailty models with the EM algorithm; it uses Rcpp and RcppArmadillo.
  • lubridate makes dealing with dates a little easier.
  • ape contains a variety of phylogenetics functions.
  • n1qn1 ports the 'n1qn1' modules for unconstrained BFGS optimization from SciLab; it uses Rcpp and RcppArmadillo.
  • ADMM solve optimization problems based on Alternating Direction Method of Multipliers (ADMM); it uses Rcpp and RcppArmadillo.
  • DatAssim provides data assamiliation using Kalman filter incorporating previous results; it uses Rcpp and RcppArmadillo.
  • equateMultiple equates multiple forms using Item Response Theory (IRT); it uses Rcpp and RcppArmadillo.
  • Mega2R accesses and processes a 'Mega2' genetic database.
  • mobsim does spatial simulation and scale-dependent analysis of biodiversity changes.
  • readobj contains a fast reader for 'Wavefron' OBJ 3D scene files.
  • StepReg performs 'forward' and 'stepwise' variable selection; it uses Rcpp and RcppEigen.
  • lslx fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL); it uses Rcpp and RcppEigen.
  • spatialwarnings compute early-warnings signals (EWS) of ecosystem degradation on raster data sets.; it uses Rcpp and RcppArmadillo.
  • vmd ports and extends code by Dragomiretskiy and Zosso for conducting Variational Mode Decomposition (VMD).
  • dvmisc does faster computation of common statistics and miscellaneous functions.
  • PCMRS implements the partial credit model with response styles (PCMRS); it uses Rcpp and RcppArmadillo.
  • changepointsHD does change-point estimation for expensive and high-dimensional models; it uses Rcpp and RcppArmadillo.
  • ClinicalTrialSummary estimates summary measures for clinical trials.
  • prioritizr undertakes conservation prioritization using integer programming techniques; it uses Rcpp, RcppArmadillo and BH.
  • UniIsoRegression performs unimodal and isotonic l1, l2, and linf regression.
  • GeDS computes geometrically designed splines for regressions.
  • nlmixr fits and compares nonlinear mixed-effects models in differential equations; it uses Rcpp, RcppArmadillo, RcppEigen, and BH.
  • bigtime estimates large VAR models with lasso penalties; it uses Rcpp, RcppArmadillo, and RcppEigen.
  • predkmeans implements predictive k-means clustering using a mixture of experts model; it uses Rcpp and RcppArmadillo.
  • SELF provides the Structural Equation Embedded Likelihood Framework criteria to learn causal structure.
  • sentometrics does textual sentiment time series agggreation and prediction; it uses Rcpp and RcppArmadillo.
  • imbalance offers preprocessing algorithms for imbalanced datasets; it uses Rcpp and RcppArmadillo.
  • ipumsr reads 'IPUMS' extract files for census, survey and geographic data; it uses Rcpp and RcppArmadillo.
  • fDMA; it uses Rcpp and RcppArmadillo.
  • lwgeom; it uses Rcpp and RcppArmadillo.
  • ordinalClust performs ordinal data classification, clustering and co-clustering; it uses Rcpp and RcppArmadillo.
  • YPInterimTesting provides monitoring boundaries for interim testing using the adaptively weighted log-rank test.
  • CVXR offers an object-oriented modeling language for disciplined convex programming (DCP); it uses Rcpp and RcppEigen.
  • strider implements a strided iterator and range; it uses Rcpp and BH.
  • trialr showcases Bayesian clinical trial design implemented in RStan and R; it uses Rcpp, RcppEigen and BH.
  • covTestR implements testing functions for covariance matrices; it uses Rcpp and RcppArmadillo.
  • JMcmprsk; it uses Rcpp and RcppArmadillo.
  • RClickhouse provides a DBI interface to the 'Yandex Clickhouse' database.
  • TexExamRandomizer personalizes and randomizes exams written in 'LaTeX'.
  • outbreaker2 implements Bayesian reconstruction of disease outbreaks.
  • UniDOE provides procedures for uniform design of experiments.
  • Numero adds a statistical framework to define subgroups in complex datasets.
  • hesim offers functions for developing and analyzing the output of health-economic simulation models; it uses Rcpp and RcppArmadillo.
  • bigsnpr brings tools for efficient, flexible and scalable analysis of massive SNP arrays; it uses Rcpp and RcppArmadillo.
  • HMMEsolver implements a fast solver for Henderson Mixed Model Equations; it uses Rcpp and RcppArmadillo.
  • RPostgres provides a DBI-compliant interface to PostgreSQL.
  • NetworkDistance computes distance measures for networks; it uses Rcpp and RcppArmadillo.
  • filling offers matrix completion, imputation, and inpainting methods; it uses Rcpp and RcppArmadillo.
  • mmapcharr memory-maps character matrices as if they were simple R(cpp) matrices; it uses Rcpp and BH.
  • Umatrix visualizes structures in high-dimensional data via emergement self-organizing maps.
  • PUlasso offers high-dimensional variable selection with presence-only data; it uses Rcpp and BH.
  • pccc implements the pediatric complex chronic conditions (CCC) classification.
  • rbacon does age-depth modelling via Bayesian statistics to reconstruct accumulation histories for deposits.
  • BClustLonG provides a Dirichlet process mixture model for clustering longitudinal gene expression data; it uses Rcpp and RcppArmadillo.
  • humanleague generates high-entropy integer synthetic populations using quasirandom sampling.
  • mizer offers multi-species size spectrum modelling.
  • implements quantile regression forests using the fast random forest package 'ranger'.
  • afCEC provides active function cross-entropy clustering; it uses Rcpp and RcppArmadillo.
  • PPforest implements projection pursuit forest algorithm for supervised classification; it uses Rcpp and RcppArmadillo.
  • BVSNLP adds Bayesian variable selection in high-dimensional settings; it uses Rcpp, RcppArmadillo and RcppEigen.
  • reda implements recurrent event analysis; it uses Rcpp and RcppArmadillo.
  • ijtiff imports TIFF files saved from 'ImageJ' and writes TIFF files than can be read by 'ImageJ'.
  • tmbstan provides MCMC sampling from 'TMB' model objects via 'stan'; it uses Rcpp, RcppEigen and BH.
  • tibbletime makes 'tibble' types time-aware with subsetting and aggregating functionality.
  • refinr clusters and merges similar values within a character vector.
  • metacoder provides tools for parsing, manipulating, and graphing taxonomic abundance data.
  • ICcalib calibrates and fits Cox proportional hazard models with intermittent observations; it uses Rcpp and RcppArmadillo.
  • netrankr implements methods for centrality related analyses of networks; it uses Rcpp and RcppArmadillo.
  • googlePolylines encodes 'sf' objects and coordinates using the 'Google' polyline algorithm ; it uses Rcpp and BH.
  • KSgeneral computing p-values of the K-S test for (dis)continuous Null distribution.
  • AnaCoDa analyses codon data under stationarity using a Bayesian framework.
  • REddyProc post-processes (half-)hourly eddy-covariance measurements.
  • RcppCWB adds bindings for the 'Corpus Workbench'.
  • popkin estimates kinship and FST under arbitrary population structure ; it uses Rcpp and RcppEigen.
  • chunkR reads external data tables in chunks.
  • FarmSelect implements factor-adjusted robust model selection; it uses Rcpp and RcppArmadillo.
  • npsf Provides a variety of tools for nonparametric and parametric efficiency measurement.
  • binnednp implements nonparametric estimation for interval-grouped data.
  • junctions analyses the breakdown of genomic ancestry blocks in hybrid lineages.
  • Bioi performs single linkage clustering and connected component analyses are often performed on biological images.
  • FENmlm estimates multiple fixed-effects maximum likelihood models with possibly non-linear parameters.
  • gkmSVM adds gapped-Kmer support vector machine functionality.
  • icr computes and plot Krippendorff's inter-coder reliability coefficient alpha.
  • RcppGreedySetCover implementation of the greedy algorithm for the set cover problem; it uses Rcpp and BH.
  • TSrepr offers different time series representation methods for more effective time-sries data mining.
  • multinets analyses multilevel networks (as extends 'igraph').
  • estimatr provides fast estimators for design-based inference; it uses Rcpp and RcppEigen.
  • networkR does fast manipulation, handling, and analysis of large-scale networks from social data; it uses Rcpp and RcppArmadillo.
  • rubias offers Bayesian inference from the conditial genetic stock indentification model.
  • colorednoise simulates temporally autocorrelated population time series.
  • DataVisualizations visualizes high-dimensional data; it uses Rcpp and RcppArmadillo.
  • cellWise adds tools for detecting cellwise outliers; it uses Rcpp and RcppArmadillo.
  • essHist provides an optimal histogram in the sense of probability density estimation and feature detection.
  • RJafroc offers modeling, analysis, validation and visualization of observer performance studies in diagnostic radiology.
  • CENFA adds tools for climate- and ecological-niche factor analysis of spatial data.
  • detectRUNS detects runs of homozygosity and of heterozygosity in diploid genomes.
  • RaPKoD implements a random projection kernel outlier detector through random low-dimensional projections; it uses Rcpp and RcppArmadillo.
  • Phase123 simulates and conducts 'Phase 123' trials; it uses Rcpp and RcppArmadillo.
  • rosqp solves quadratic programs with optional equality and inequality constraints using the 'OSQP' library.
  • amt manages and analyses animal movement data.
  • specklestar obtains positional parameters for stellar systems from series of speckle images.
  • facilitation simulates a variety of spatial individual-based models of plant-plant interactions.
  • NCutYX clusters omics data of multiple types with a multilayer network representation; it uses Rcpp and RcppEigen.
  • SolveLS solves linear system of equations iteratively using a variety of methods; it uses Rcpp and RcppArmadillo.
  • GPCMlasso detects differential item functioning (DIF) in generalized partial credit models (GPCM); it uses Rcpp and RcppArmadillo.
  • serrsBayes adds Bayesian modeling of Raman spectroscopy (SEERS); it uses Rcpp and RcppEigen.
  • estudy2 implementation of most commonly used parametric and nonparametric test for event study methodology.
  • forestControl compute approximate false positive rate control in selection freqeuncy for random forest.
  • GpGp computes fast Gaussian processes using Vecchia's approximation.
  • mfGARCH estimates mixed-frequency (MIDAS) GARCH models.
  • projpred performs projection predictive feature selection for generalized linear model; it uses Rcpp and RcppArmadillo.
  • geogrid turns geospatial polygons into regular or hexagonal grids; it uses Rcpp and RcppArmadillo.
  • fingerPro quantifies the provenance of sediments in a catchment or study area; it uses Rcpp and RcppGSL.
  • ncpen estimates the nonconvex penalized linear, logistic and Poisson regression models; it uses Rcpp and RcppArmadillo.
  • wbsts detects number and locations of time-series change-points using the Wild Binary Segmentation and Locally Stationary Wavelet models.
  • DGM fits dynamic graphical models to estimate directed dynamic networks in fMRI data; it uses Rcpp and RcppArmadillo.
  • NlinTS provides non-linear time series forecasting and causality detection.
  • dynamo implements methods to fit a three-dimensional dynamic array model; it uses Rcpp and RcppArmadillo.
  • JuliaCall provides low- and high-level interfaces to Julia.
  • segclust2d provides methods for segmentation/clustering of bivariate time-series; it uses Rcpp and RcppArmadillo.
  • carSurv estimates correlation-adjusted regression survival (CARS) scores.
  • particles implements a graph-based particle simulator based on d3-Force.
  • bpnreg fits Bayesian multiple and fixed-effect models for circular data; it uses Rcpp, RcppArmadillo and BH.
  • nmslibR wraps the 'Non-Metric Space Library' (NMSLIB); it uses Rcpp and RcppArmadillo.
  • RobustCalibration implements full Bayesian analysis for calibrating mathematical models; it uses Rcpp and RcppEigen.
  • linearQ adds a linear algorithm for simulating quantiles in multiscale change-point segmentation problems.
  • belg calculates the Boltzmann entropy of a landscape gradient, it uses Rcpp and RcppArmadillo.
  • kmer implements fast k-mer counting and clustering for biological sequence analysis.
  • spp analyses ChIP-seq and other functional sequencing data; it uses Rcpp and BH.
  • vlad contains functions to set up risk-adjusted quality control charts in health care; it uses Rcpp and RcppArmadillo.
  • glm.deploy provides functions to inspect the predict function of fitted glm objects.
  • hdme fits penalized regression with measurement error in high-dimension.
  • decido provides constrained triangulation of polygons using the 'earcutt' library.
  • understandBPMN calculates understandibility metrics for Business Process Modelling Notation (BPMN).
  • BoltzMM provides probability computation, data generation and estimation for Boltzmann machines; it uses Rcpp, RcppArmadillo, and BH.
  • miceFast offers fast imputation methods; it uses Rcpp and RcppArmadillo.
  • PPRL adds a toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques.
  • cutpointr determines and evaluates optimal cutpoints in binary classification data.
  • fasterize replaces the `raster::rasterize()` function with a faster alternative; it uses Rcpp and RcppArmadillo.
  • nVennR provides the nVenn algorithm for pleasing and informative Venn diagrams.
  • rare implements linear models with tree-based lasso-regularization for rare features; it uses Rcpp and RcppArmadillo.
  • BSL implements Bayesian Synthetic Likelihood, an alternative to ABC; it uses Rcpp and RcppArmadillo.
  • kde1d offers efficient univariate local polynomial kernel density estimation; it uses Rcpp, RcppEigen and BH.
  • landsepi fits a spatio-temporal stochastic model to asses plant pathogen resistance.
  • RNOmni implements an omnibus test for genetic association analysis; it uses Rcpp and RcppEigen.
  • EMMIXgene provides unsupervised selection and clustering of microarray data using mixture models; it uses Rcpp, RcppArmadillo and BH.
  • ADMMsigma fits penalized precision matrix via alternating direction of multipliers algorithmn; it uses Rcpp and RcppArmadillo.
  • autoFRK does automated fixed rank kriging; it uses Rcpp, RcppEigen and RcppParallel.
  • BayesESS determines effective sample size in Bayesian models; it uses Rcpp, RcppArmadillo and RcppEigen.
  • dcurver adds utility functions for Davidian curves; it uses Rcpp and RcppArmadillo.
  • mosum implements MOSUM based statistical procedures for detecting multiple changes in the mean.
  • pimeta offers prediction intervals for random-effect meta-analysis; it uses Rcpp and RcppEigen.
  • MixAll clusters and classifies using model-based mixture models.
  • gscounts implements design and analysis of group sequential designs with negative binomial outcomes.
  • rres adds functions for studying realized genetic relatedness between people.
  • cbinom implements a continuous analog to the standard discrete binomial distribution.
  • openCR offers open population capture-recapture modeling from animal populations subject to turnover.
  • SimilaR implements a novel method to determine similarity for R source code based on program dependence ; it uses Rcpp and BH.
  • WeibullR offers Weibull analysis for reliability engineering; it uses Rcpp and RcppArmadillo.
  • promises provides abstractions for asynchronous programming in R using promises.
  • pcadapt implements fast principal component analysis for outlier detection; it uses Rcpp and RcppArmadillo.
  • iilasso efficiently fits linear / logistic regression models with independently interpretable lasso; it uses Rcpp and BH.
  • meltt matches event data by location, time and type; it uses Rcpp and RcppArmadillo.
  • geojsonsf converts GeoJSON object to simple features objects; it uses Rcpp and RcppArmadillo.
  • ROI.plugin.qpoases adds a 'qpOASES' plugin to the ROI infrastructure for optimization.
  • rpql offers regularized penalized quasi-likelihood for joint selection in GLMMs; it uses Rcpp and RcppArmadillo.
  • EMVS implements expectation-maximization for fitting Bayesian spike-and-slab regularization paths; it uses Rcpp and RcppArmadillo.
  • bigrquery interfaces the Google 'BigQuery' databases from R.
  • logKDE computes log-transformed kernel density estimates for positive data.
  • mdmb offers model-based treatment of missing data using maximum likelihood or Bayesian estimation; it uses Rcpp and RcppArmadillo.
  • BLSM provides a Bayesian latent space model for complex network; it uses Rcpp and RcppEigen.
  • timechange adds efficient routines for manipulating date-time ; it uses Rcpp and RcppArmadillo.
  • mrbsizeR implements scale space multiresolution analysis of random signals.
  • aricode computes standard clusteromh comparison measures efficiently.
  • DtD estimates and simulates Merton's 'distance to default' model; it uses Rcpp and RcppArmadillo.
  • intcensROC offers fast spline-based constrained estimation for AUC of interval censored survival data; it uses Rcpp and RcppEigen.
  • microsamplingDesign finds optimal designs for non-compartmental pharmokinetic analysis; it uses Rcpp and RcppArmadillo.
  • bioacoustics analyzes audio recordings to automatically extract animal vocalizations.
  • GA provides a flexible general-purpose toolbox for genetic algorithm for stochastic optimisation; it uses Rcpp and RcppArmadillo.
  • blorr has tools for developing and validating binary logistic regression models.
  • dqrng implements several fast pseudo random number generators; it uses Rcpp and BH.
  • groupedSurv efficiently estimate grouped survival models; it uses Rcpp, RcppEigen and BH.
  • mgwrsar fits (mixed) geographycally weighted models with spatial autocorrelation; it uses Rcpp and RcppEigen.
  • lvec offers out-of-memory vectors for several types; it uses Rcpp and BH.
  • DstarM analyses two choice reaction data with the 'D*M' method; it uses Rcpp and RcppArmadillo.
  • biwavelet conducts univariate and bivariate wavelet analyses.
  • epiphy analyses plant disease epidemics over time and/or space.
  • ldat works with large data sets which cannot fit in memory; it uses Rcpp and BH.
  • irregulAR1 simulates and evaluates irregularly sampled stationary AR(1) processes; it uses Rcpp and RcppArmadillo.
  • hdbinseg does change-point analysis of high-dimensional time series via binary segmentation; it uses Rcpp and RcppArmadillo.
  • imagerExtra provides image processing functions based on 'imager'.
  • comperank computes ranking and ratings based on competition results.
  • heatwaveR detects heatwaves and cold-spells; it uses Rcpp and RcppArmadillo.
  • Spbsampling draws spatially balanced samples.
  • wdm implements weighted dependence measures and related symptotic tests for independence.
  • MM4LMM performs inference of linear mixed models through the MM algorithm; it uses Rcpp and RcppEigen.
  • reclin assist in performing probabilistic record linkage and deduplication.
  • polysat offers tools for polyploid microsatellite analysis.
  • implements measurement units for R vectors: progagation, conversion, derivation and simplification of errors.
  • inplace provides in-places operators for R similar to the corresponding C++ operators.
  • PQLseq does differential analysis of large-scale RNA sequencing data; it uses Rcpp and RcppArmadillo.
  • pseudorank calculates pseudo-ranks efficiently.
  • ratematrix estimates the evolutionary rate matrix using MCMC; it uses Rcpp and RcppArmadillo.
  • jaccard calculates statistical significance of Jaccard/Tanimoto similarity coefficients for binary data.
  • liger provides a lightweight iterative gene set enrichment toolkit; it uses Rcpp and RcppArmadillo.
  • eseis implements a toolbox for environmental seismology.
  • IntervalSurgeon manipulates integer-bounded intervals.
  • Orcs contains 'omni-directional code snippets'.
  • QTL.gCIMapping.GUI offers a GUI for QTL genome-wide composite interval mapping.
  • RcppEigenAD computes first- and second-order partial derivatives ; it uses Rcpp, RcppEigen and BH.
  • QTL.gCIMapping conducts multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect mixed linear model.
  • exuber tests and dates periods of explosive dynamics in time series using recursive unit root tests.
  • mixdir clusters high-dimensional categorical datasets.
  • RcppMeCab wraps the 'MeCab' part-of-speech and morphological analyser; it uses Rcpp, RcppParallel and BH.
  • DDPGPSurv performs MCMC inference for nonparametric Bayesian survival analysis; it uses Rcpp and RcppArmadillo.
  • dynutils provides common functions for 'dynverse' packages for trajectory inference.
  • glmmfields implements Bayesian spatial and spatialtemporal models; it uses Rcpp, RcppEigen and BH.
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  • MuChPoint offers a nonparametric approach to estimate the location of block boundaries.
  • umap uses uniform manifold approximation and project for dimension reduction.
  • vsgoftest implements Vasicek and Song goodness-of-fit tests based on Kullback-Leibler divergence.
  • mumm fits multiplicative mixed models via ML; it uses Rcpp and RcppEigen.
  • ospq provides bindings to the OSQP solver for quadratic programs.
  • L0Learn adds fast algorithms for best subset selection via L0 regularization; it uses Rcpp and RcppArmadillo.
  • rollRegres does fast expanding and rolling linear regressions; it uses Rcpp and RcppArmadillo.
  • princurve fits a principal curve in arbitrary dimension; it uses Rcpp and RcppArmadillo.
  • CASMAP detects statistically significant combinations of SNPs in assocation mapping.
  • elmNNRcpp trains and predicts using single hidden-layer feedforward neural networks; it uses Rcpp and RcppArmadillo.
  • etm computes empirical transition matrices; it uses Rcpp and RcppArmadillo.
  • gppm provides Gaussian process panel modeling for longitudinal panel data.
  • lpirfs contains functions to estimate linear and nonlinear impulse responses; it uses Rcpp and RcppArmadillo.
  • sundialr interfaces the 'SUNDIALS' ODE solvers.
  • nmixgof provides residuals and overdispersion metrics to assess the goodness of fit of N-mixture models.
  • puniform does meta-analysis correcting for publication bias.
  • sarima adds functions, classes and methods for seasonal ARIMA time series models; it uses Rcpp and RcppArmadillo.
  • updog implements empirical Bayes approaches to genotype polyploids; it uses Rcpp and RcppArmadillo.
  • pgdraw draws random samples from the Polya-Gama distribution.
  • Rlda estimates a Bayesian LDA model for mixed-membership clustering; it uses Rcpp and RcppArmadillo.
  • spCP implements a spatially varying change point model; it uses Rcpp and RcppArmadillo.
  • xdcclarge estimates a (c)DCC-GARCH model in large dimensions; it uses Rcpp and RcppArmadillo.
  • physiology estimates physiologic characteristics of infacts, children and adults.
  • adpss provides functions for planning and conducting a clinical trial with adaptive sample size determination.
  • CKLRT offers composite kernel machine regression based on likelihood ratio; it uses Rcpp and RcppEigen.
  • TDAstats does topological data analysis via persistent homologies in a Veitoris-Rips complex.
  • jmvconnect connect R to the Jamovi statistical spreadsheet; it uses Rcpp and BH.
  • fpeek checks text files at a glance, similar to `head`, `tail`, `wc`, and `iconv`.
  • RTransferEntropy measures information flow between time series.
  • weibulltools contains methods for examining bench test or field data using Weibull analysis.
  • demu implements the determinantal point process (DPP) based optimal design emulator; it uses Rcpp and RcppArmadillo.
  • dexterMST computes conditional maximum likelihood calibration of multistage tests.
  • bcf estimates binary treatments and continuous outcomes using Bayesian causal forests; it uses Rcpp and RcppArmadillo.
  • bigreadr reads large text files by splitting them into smaller files.
  • HDclust clusters high-dimensional data with Hidden Markov Models on variable blocks; it uses Rcpp and RcppProgress.
  • hipread reads hierarchical fixed width files; it uses Rcpp and BH.
  • gren does adaptive group-regularized logistic elastic net regression; it uses Rcpp and RcppArmadillo.
  • circumplex analyses and visualises circular data; it uses Rcpp and RcppArmadillo.
  • MultiFit computes in a multivariate multiscale frameworks for independence tests; it uses Rcpp and RcppArmadillo.
  • robmixglm fits robusts generalized linear model using mixtures.
  • alpaca fits GLM models with high-dimensional k-way fixed effects; it uses Rcpp and RcppArmadillo.
  • lfl contains algorithms related to linguistic fuzzy logic.
  • polyRAD computes genotype calling with uncertainty from sequencing data in polyploids and diploids.
  • rmi provides mutual information estimators based on k-nearest neighbor estimates; it uses Rcpp and RcppArmadillo.
  • abn models multivariate data with Additive Bayesian Networks; it uses Rcpp and RcppArmadillo.
  • fasterElasticNet fits Elastic Net, Lasso, and Ridge regression in a fast way; it uses Rcpp and RcppArmadillo.
  • landscapemetrics calculates landscape metrics for categorical landscape patterns; it uses Rcpp and RcppArmadillo.
  • SCPME estimates penalized precision matrix via ADMM; it uses Rcpp and RcppArmadillo.
  • Rnmr1D processes proton nuclear magnetic resonance spectra.
  • vapour offers lightweight access to the 'gdal' library.
  • RWDataPlyr reads and handles data from 'RiverWare' simulations in a 'dplyr' pipeline.
  • imptree creates classification trees with imprecise probabilities.
  • NetworkInference infers latent diffusion networks.
  • pGPx computes pseudo-realizations from the posterior of disitribution of a Gaussian Process; it uses Rcpp and RcppArmadillo.
  • KeyboardSimulator simulates keyboard presses and mouse clicks with R code.
  • sparseinv wraps 'SuiteSparse' routines executing the Takahashi equations.
  • bgsmtr fits Bayesian group-sparse multi-task regression models using Gibbs sampling.
  • ambient generates natural looking noise via the 'FastNoise' library.
  • rayshader creates and visualizes hillshaded maps from elevation matrices.
  • EstMix estimates tumor clones percentages for snp data and whole genome sequencing; it uses Rcpp and RcppArmadillo.
  • runner contains (windowed, rolling, cumulative) windowed functions with varying windows size and options for missing values.
  • SparseLPM models nonnegative entries in a rectangular adjacency matrix; it uses Rcpp and RcppArmadillo.
  • strex provides extra string manipulation functions.
  • ggdmc uses hierarchical Bayesian modelling to fit cognitive models; it uses Rcpp and RcppArmadillo.
  • spatialrisk calculates concentration risk under the EU insurance regulation framework (Solvency II).
  • sport does sequential pairwise online rating for multi-player challenges; it uses Rcpp and RcppArmadillo.
  • ungroup estimates penalized composite link models from coarsely binned data; it uses Rcpp and RcppEigen.
  • multivariance measures multivariate dependence using distance multivariance.
  • BLPestimatoR performs demand estimation as described in Berry, Levinsohn and Pakes; it uses Rcpp and RcppArmadillo.
  • conStruct models spatially continuous and discrete population strucure; it uses Rcpp, RcppEigen, and BH.
  • bayesdfa implements Bayesian dynamic factor analysis with 'Stan'; it uses Rcpp, RcppEigen, and BH.
  • metadynminer adds tools to read, analyze and visualize metadynmamics HILLS files.
  • Ckmeans.1d.dp produces fast optimal univariate clustering and segmentation by dynamic programming.
  • crfsuite wraps the 'CRFsuite' library for conditional random field models.
  • MetaStan performs Bayesian meta-analysis via 'Stan'.
  • colourvalues assigns colours to values, using a viridis or user-supplied palette; it uses Rcpp and BH.
  • ggwordcloud implements a wordcloud geom for ggplot2 so that texts do not overlap.
  • Opt5PL evaluates optimal designs for 3, 4 and 5 parameter logistic models.
  • quantities integrates 'units' and 'error' for a complete quantity calculus.
  • roptim performs general-purpose optimization in R using C++; it uses Rcpp and RcppArmadillo.
  • oce supports the analysis of oceanographic data.
  • texmex does extreme value modeling of threshold excesses, maxima and multivariate extremes.
  • coxrt fits Cox regression based on retrospectively ascertained times-to-event; it uses Rcpp and RcppArmadillo.
  • lolog estimates Latent Order Logistic (LOLOG) models for networks; it uses Rcpp and BH.
  • Temporal performs likelihood-based estimation and inference on time-to-event data; it uses Rcpp and RcppEigen.
  • BayesMallows implements a Bayesian version of the Mallows rank model; it uses Rcpp and RcppArmadillo.
  • divDyn describes sampling and diversity dynamics of fossil occurence datasets.
  • SMUT tests the mediation effect of multiple SNPs; it uses Rcpp and RcppEigen.
  • AlphaSimR offers stochastic simulation of breeding programs; it uses Rcpp and RcppArmadillo.
  • HARModel estimates, simulates and forecasts heterogenous autoregressive models; it uses Rcpp and RcppArmadillo.
  • RcppNLoptExample shows how to access NLopt from C(++) code without linking.
  • revealedPrefs computes direct and indirect revealed preferences; it uses Rcpp and RcppArmadillo.
  • Immigrate performs iterative max-min entropy margin-maximization with interaction terms for feature selection.
  • jsonify converts R objects to JSON using the rapidjson library.
  • ppgmmga offers the projection pursuit algorithm via GMMs using GAs; it uses Rcpp and RcppArmadillo.
  • touch implements software tools developed in the H-CUP and AHRQ projects.
  • fclust implements fuzzy clustering, cluster validity indices and visualization; it uses Rcpp and RcppArmadillo.
  • idefix generates efficient designs for discrete choice experiments; it uses Rcpp and RcppArmadillo.
  • HRM tests main and interaction effects in high-dimensional repaeated measure factorial designs; it uses Rcpp and RcppArmadillo.
  • JMI computes the Jackknife Mutual Information (JMI) between two vectors; it uses Rcpp and RcppArmadillo.
  • lbfgsb3c provides a limited-memory BFGS minimiser with parameter bounds; it uses Rcpp and RcppArmadillo.
  • stratEst implements the strategy frequency estimation method; it uses Rcpp and RcppArmadillo.
  • DEploid deconvolutes mixed genomes with unknown proportions; it uses Rcpp and RcppArmadillo.
  • compboost implenents component-wise boosting; it uses Rcpp and RcppArmadillo.
  • pgsc computes the generalized synthetic control estimator (Powell, 2017); it uses Rcpp and RcppArmadillo.
  • RcppDist adds a header-only library with several distribution functions; it uses Rcpp and RcppArmadillo.
  • sboost creates classifiers for binary outsomes using Adapative Boosting (AdaBoost).
  • calculates the monthly and self-calibrating Palmer Drought Severity Index (PDSI and scPDSI).
  • mapi implemnts Mapping Average Pairwise Information to expression spatial variation of spatial metrics.
  • mudens computes density estimates for right-censored survival times.
  • RcppEnsmallen connects R to the Ensmallen header-only optmization library; it uses Rcpp and RcppArmadillo.
  • fabMix implements model-based clustering of multivariate continuous data; it uses Rcpp and RcppArmadillo.
  • pbv compute probabilities of the bivariate Normal distribution; it uses Rcpp and RcppArmadillo.
  • ggiraph creates interactive 'ggplot2' graphics via 'htmlwidgets'.
  • lobstr visualizes data structures with trees.
  • obliqueRSF computes oblique random survival forests; it uses Rcpp and RcppArmadillo.
  • polylabelr wraps the 'polylabel' library to find approximate poles of inaccessibility of a polygon suitable for labeling.
  • RiemBase estimates statistics including Fréchet mean and geometric median for manifold-valued data; it uses Rcpp and RcppArmadillo.
  • ivtools contains tools for instrumental variable estimation.
  • yardstick tools to quantify model fits to data such as confusion matrices, class probability summaries and metrics.
  • ibs calculates B-splines with a given set and knots and order.
  • interep; it uses Rcpp and RcppArmadillo.
  • STARTS estimates the STARTS model by Kenny and Zautra; it uses Rcpp and RcppArmadillo.
  • pvar calculates p-variation of finite sample data.
  • BondValuation analyses fixed-coupon bonds valuation allowing for odd coupon periods a various days count conventions.
  • GPM models Gaussian Processes in a general and efficient manner; it uses Rcpp and RcppArmadillo.
  • mixggm models mixtures of Gaussian graphical models for model-based clustering; it uses Rcpp and RcppArmadillo.
  • mixsqp optimizes based on sequential quadratic programming for MLE of miture proportions; it uses Rcpp and RcppArmadillo.
  • RCSF supports airborne LiDAR via Cloth Simulation Filter.
  • NLMR simulates neutral landscape models.
  • BivRec implements bivariate alternating recurrent event data analysis.
  • NPBayesImputeCat does non-parametric Bayesian multiple imputation for categorical missing at random.
  • offers utility functions for handling, analysing and visualizing data from portable emissions measurement systems.
  • BHSBVAR fits Structural Bayesian Vector Autoregressive Models; it uses Rcpp and RcppArmadillo.
  • rcosmo handles and analysis spherical, HEALPix and cosmic microwave data.
  • GenEst adds a command-line and Shiny-based Generalized Mortality Estimator for birds and bats at wind and solar facilities.
  • spreadr simulates spreading activity in a network.
  • metacard implements a flexible approach to identify moderators in meta-analysis.
  • changepoint.mv analyses multivariate timeseries for changepoints.
  • ProFound add photometry tools for simple and advanced source extraction.
  • HMB provides hierarchical model-based estimation; it uses Rcpp and RcppArmadillo.
  • rCRM fits a two-parameter continual reassessment method model; it uses Rcpp and RcppEigen.
  • compas does conformational manipulations of protein atomic structures; it uses Rcpp and RcppEigen.
  • COMPoissonReg fits Conway-Maxwell Poisson (COM-Poisson) regression models.
  • cglm fits conditional generalized linear models for clustered data; it uses Rcpp and RcppArmadillo.
  • twosamples offers fast permutation-based two sample tests.
  • emstreeR computes Euclidian minimum spanning trees; it uses Rcpp, RcppArmadillo, RcppMLPACK and BH.
  • sommer solves structural multivariate-univariate linear mixed models; it uses Rcpp and RcppArmadillo.
  • parglm estimates generalized linear models in parallel (without multithreaded LAPACK or BLAS); it uses Rcpp and RcppArmadillo.
  • smurf implments sparse multi-type regularized feature modeling to fit glm models; it uses Rcpp and RcppArmadillo.
  • transformr manipulates the shapes of polygons and paths.
  • rsMove adds tools for the guided selection of satellite data and environmental predictors.
  • minerva implements the 'minepy' maximal information-based nonparametric exploration statistics.
  • mined approximates target distribution via minimum energy designs, deterministic sampling method; it uses Rcpp and RcppEigen.
  • Buddle offers deep learning for statistical classification analysis; it uses Rcpp and RcppArmadillo.
  • mirtjml does joint maximum likelihood estimation for high-dimensional item factor analysis; it uses Rcpp and RcppArmadillo.
  • MTLR implements multi-task logistic regression for survival prediction; it uses Rcpp and RcppArmadillo.
  • spatialwidget converts spatial data to JSON for use in htmlwidgets; it uses Rcpp and BH.
  • CPAT computes statistical tests for structural change; it uses Rcpp and RcppArmadillo.
  • riskParityPortfolio efficiently constructs risk-parity portfolios; it uses Rcpp and RcppEigen.
  • BTM finds topics on in collections of short texts using 'biterm topic models'.
  • mfbvar estimates mixed-frequency Bayesian VAR models; it uses Rcpp and RcppArmadillo.
  • segMGarch detects multiple change-points in high-dimensional GARCH processes; it uses Rcpp and RcppArmadillo.
  • blockForest offers a random forest variant using block-structure covariate data; it uses Rcpp and RcppEigen.
  • lvmcomp provides stochastic EM algorithms for latent variable models; it uses Rcpp and RcppArmadillo.
  • mvp does fast manipulation of symbolic multivariate polynomials.
  • SuperpixelImageSegmentation implements image segmentations; it uses Rcpp and RcppArmadillo.
  • mmsample implements multivariate matched sampling; it uses Rcpp and RcppArmadillo.
  • proxyC computes proximity in large sparse matrices; it uses Rcpp, RcppArmadillo and RcppParallel.
  • DriftBurstHypothesis calculates the tests statistic for the drift burst H0; it uses Rcpp and RcppArmadillo.
  • FiRE finds rare entities: outliers to every sample in voluminous datasets.
  • rstap estimates stap regression models using 'rstan'.
  • ssMousetrack estimates previously compiled state-space models for mouse-tracking.
  • RcppDynProg implements dynamic programming with example partition and fitting examples; it uses Rcpp and RcppArmadillo.
  • EditImputeCont offers simutaneous edit-imputation for continuous microdata.
  • BiProbitPartial estimates, summarizes and predicts bivariate probits with partial observability; it uses Rcpp and RcppArmadillo.
  • curveDepth computes Tukey depth of curve and distance; it uses Rcpp and RcppArmadillo.
  • FastGaSP implements fast and exact computation of Gaussian processes with Matern kernels; it uses Rcpp and RcppEigen.
  • PPRL adds a toolbox for deterministic, probabilistic and privacy-preserving linkage techniques.
  • ruimtehol wraps the StarSpace library for word, sentence, article, document, webpage, link, ... embeddings; it uses Rcpp and BH.
  • cdcsis computes conditional distance correlation based feature screening and conditional independence inference.
  • cPCG solves systems of linear equations via a preconditioned conjugate gradient algorithm; it uses Rcpp and RcppArmadillo.
  • BMTME offers a Bayesian Multi-Trait Multi-Environment for Genomic Selection Analysis.
  • apcf implements the adapted pair correct function for objects of finite size and irregular shape.
  • netchain infers causal effects on collective outcomes under interference.
  • Quartet compares phylogenic trees using quartet and bipartition measure.
  • segmentr segments data using different algorithms to maximize likelihood of changepoints.
  • WebGestaltR interfaces the WebGestalt.org service for analysis of over-representation, gene set enrichment and network topology.
  • cmenet computes bi-level variable selection for conditional main effets; it uses Rcpp and RcppArmadillo.
  • mapdeck offers interactive maps using 'Mapbox GL JS' and 'Deck.gl'.
  • RcppHNSW implements approximate nearest neighbours via 'hnswlib'.
  • ZVCV implements zero-variance control variates to reduce Monte Carlo estimator variance; it uses Rcpp and RcppArmadillo.
  • qgraph implements graph plotting methods, psychometric data visualization and graphical model estimation.
  • IMaGES adds Independent Multiple-sample Greedy Equivalence Search (IMaGES) causal inference algorithm; it uses Rcpp, RcppArmadillo and BH.
  • surveysd estimates survey standard errors for cumulated estimates and their differences in complex panel designs.
  • nonneg.cg minimizes a differentiable function subject to variables beging non-negative using a conjugate gradient method.
  • GMMAT performs general linear mixed model assocation tests; it uses Rcpp and RcppArmadillo.
  • lhs provides number of methods for creating and augmenting latin hypercube samples.
  • simcdm simulates cognitive diagnostic model (CDM) data; it uses Rcpp and RcppArmadillo.
  • swephR implements the high-precision Swiss Ephemeris based on the DE431 ephemerides from NASA's JPL.
  • readsdmx reads SDMX-XML data used in official statistics.
  • bigMap offers unsupervised clustering for large structured data; it uses Rcpp, RcppArmadillo and BH.
  • dosearch identifies causal effects via do-calculus and standard probability manipulations.
  • SAR gives personalized recommendations based on user transactions and item descriptions; it uses Rcpp, RcppArmadillo and RcppParallel.
  • hutilscpp provides utility functions with higher-performance than from base R.
  • qs implements quick serialization of R objects to and from disk with 'zstd'-based compression.
  • robFitConGraph robustly estimates scatter matrices subject to zero-constraints on its inverses.
  • CB2 adds CRISPR pooled screen analysis using a Beta-binomial test; it uses Rcpp and RcppArmadillo.
  • expSBM implements an exponential stochastic block model for interaction length; it uses Rcpp and RcppArmadillo.
  • Rfssa offers functional singular spectrum analysis for functional time series; it uses Rcpp and RcppArmadillo.
  • rrum runs a Gibbs simapler for Bayesian estimation of Reduced Reparameterized Unified Model; it uses Rcpp and RcppArmadillo.
  • Ropj reads data from 'Origin' files.
  • phenofit extracts remote sensing vegatation phenology; it uses Rcpp and RcppArmadillo.
  • SMITIDvisu visualizes data for host and viral populations from 'SMITIDstruct'.
  • telefit estimates and predicts remote effects spatial process models; it uses Rcpp, RcppArmadillo and RcppEigen.
  • geometry provides the 'Qhull' library in a manner similar to 'Octave' / 'Matlab'; it uses Rcpp and RcppProgress.
  • LongMemoryTS estimates, simulates and tests long memory processes; it uses Rcpp and RcppArmadillo.
  • SAM offers computationally efficient tools for 'Sparse Additive Modeling'; it uses Rcpp and RcppEigen.
  • segmenTier provides similarity-based segmentation of multidimensional signals.
  • uses a genetic algorithm for wind farm layout optimization.
  • ScaleLink performs probabilistic linkage between two data sets; it uses Rcpp and RcppParallel.
  • huge provides a framework for high-dimensional undirected graph estimation; it uses Rcpp and RcppEigen.
  • Rlgt implements Bayesian global trend models for time series forecasting.
  • UtilityFrailtyPH12 simulates phase 12 trial designs; it uses Rcpp and RcppArmadillo.
  • landscapetools adds utility functions for taks in landscape analysis.
  • mDAG infers causal networks from mixed observational data using a directed acyclic graph; it uses Rcpp and RcppArmadillo.
  • qpdf splits, combine and compresses pdf files using the 'qpdf' API.
  • SCCI implements the Stochastic Complexity-Based Conditional Independence test.
  • tracerer permits parsing and analysis of 'BEAST2' input files from R.
  • SHT provides a collection of statistical hypothesis testing procedures; it uses Rcpp and RcppArmadillo.
  • fastglm fits generalized linear models efficiently; it uses Rcpp and RcppEigen.
  • HMMmlselect determines the number of states in Hidden Markov Models via Maximum Likelihood.
  • SurvBoost does gradient boost for optmizing loss functions for survival data; it uses Rcpp, RcppArmadillo and RcppParallel.
  • TSDFGS determines training sets for genomic selection via a genetic algorithm; it uses Rcpp and RcppEigen.
  • apollo offers tools for choice model estimation and applications; it uses Rcpp, RcppArmadillo, and RcppEigen.
  • earthtide supplies a parallel implementation of 'ETERNA 3.40'; it uses Rcpp, RcppArmadillo and RcppParallel.
  • fssemR optimizes fused-sparse structural equation models; it uses Rcpp and RcppEigen.
  • KONPsurv computes the K-sample omnibus non-proportional hazards tests for right-censored data.
  • Lmoments estimates L-moments and trimmed L-moments; it uses Rcpp and RcppArmadillo.
  • resautonet brings an autoencode-based residual deep network with Keras support; it uses Rcpp and RcppArmadillo.
  • clusternor adds a NUMA-memory access optimized clustering routine.
  • lavaSearch2 offers tools for latent variable model specificiations; it uses Rcpp and RcppArmadillo.
  • oppr implements optimal project prioritization; it uses Rcpp and RcppArmadillo.
  • dfConn implements a multivariate linear process bootstrap for dynamic functional connectivity analysis; it uses Rcpp and RcppArmadillo.
  • gtfsrouter uses general transit feed specicifcation (GTFS) data for routing problems.
  • ideq provides a Bayesian spatio-temporal model; it uses Rcpp and RcppArmadillo.
  • Rfast2 is another collection of reimplementations of R function; it uses Rcpp and RcppArmadillo.
  • ksNN predicts using the k* nearest neighbours algorithm.
  • shar analyses species-habitat associations and tests via randomizations.
  • PolynomF implements univariate polynomial operations.
  • BNPmix contains algorithms for Pitman-Yor process mixture models; it uses Rcpp and RcppArmadillo.
  • unine implements 'light' stemmers similar to SolR and ElasticSearch.
  • steps simulates population dynamics across space and time.
  • robustSingleCell implement robust clustering of of single cell RNA-Seq data.
  • tmt provides conditional maximum likelihood (CML) estimation of item parameters in multistage designs.
  • opencv adds bindings to th 'OpenCV' library for computer vision.
  • RNewsflow offers tools for measuring text similarity across time and media; it uses Rcpp and RcppEigen.
  • bmrm offers methods for regularized risk minimization under L1 or L2 regularization.
  • ptsuite estimates the tail index for power law distributions.
  • armspp implements Adaptive Rejection Metropolis Sampling (ARMS).
  • glmdisc adds a stochastic EM algorithmn for discretized grouped logistic regression; it uses Rcpp and RcppEigen.
  • graphlayouts provides additional layout algorithms for network visualizations.
  • hopit estimates hierarchical ordered Probit models; it uses Rcpp and RcppEigen.
  • llbayesireg adds the L-Logistic Bayesian regression.
  • mnlfa conducts moderated nonlinear factor analysis; it uses Rcpp and RcppArmadillo.
  • uwot; it uses Rcpp and RcppArmadillo.
  • BayesSenMC generates different posterior distributions of adjusted odds ratios.
  • expperm computes expected permutation matrices given a matrix of likelihoods of assignments.
  • mombf provides Bayesian model selection and averaging for non-local and local priors; it uses Rcpp and RcppArmadillo.
  • bzinb estimates bivariate zero-inflated negative binomial models by maximum likelyhood; it uses Rcpp and BH.
  • glmaag covers adaptive LASSO and network-regularized generalized linear models; it uses Rcpp and RcppArmadillo.
  • rsparse implements many algorithms for statistical learning on sparse matrices; it uses Rcpp and RcppArmadillo.
  • sctransform adds variance stabilizing transformations for single cell UMI data; it uses Rcpp and RcppEigen.
  • pts2polys construct polygons summarising the location and variability of point sets.
  • greybox implements functions and instruments for regression model building and its application to forecasting.
  • bisque computes approximate Bayesian posterior inference; it uses Rcpp, RcppArmadillo and RcppEigen.
  • DataViz gives access to statistically relevant data visualisation methods via 'd3'.
  • inspectdf collects utilities for columnwise summary, comparison and visualisation of data frames.
  • RMKL provides multiple kernel learning (MKL) and cross validation functions for SVM models; it uses Rcpp and RcppArmadillo.
  • SplitReg computes split regularized estimators; it uses Rcpp and RcppArmadillo.
  • stcos adds spatio-temporal change of support (STCOS) methods; it uses Rcpp and RcppArmadillo.
  • pense provides a robust penalized elastic net S and MM estimator for linear regression; it uses Rcpp and RcppArmadillo.
  • heuristicsmineR discovers process models with the heuristics miner algorithm; it uses Rcpp and BH.
  • IOHanalyzer analyses data for the Iterative Optmization Heuristics Profiler ('IOHprofiler').
  • rTRNG provides the TRNG advanced and parallel random number generator; it uses Rcpp and RcppParallel.
  • abtest performs Bayesian A/B testing including prior elicitation.
  • ivx draws roboust econometric inference on short- and long-horizon predictive regressions; it uses Rcpp and RcppArmadillo.
  • vroom reads and write rectangular data quickly.
  • kcpRS computes Kernel Change Point detection for running statistics; it uses Rcpp and RcppParallel.
  • OTclust provides mean partitioning for ensemble clustering.
  • SSOSVM streams suitable on-line support vector machines; it uses Rcpp and RcppArmadillo.
  • empichar evaluates the empirical characteristic function for multivariate samples; it uses Rcpp and RcppArmadillo.
  • BayesianFROC delivers Free-response Receiver Operating Characteristic (FROC) analysis by Bayesian approaches.
  • HACSim iteratively explores species' Haplotype Accumulation Curves; it uses Rcpp and RcppArmadillo.
  • SAGMM clusters ; it uses Rcpp and RcppArmadillo.
  • volesti interfaces the 'volesti' C++ library to compute volume estimates of polytypes; it uses Rcpp, RcppEigen and BH.
  • rotasym tests for rotational symmetry on the hypershere; it uses Rcpp and RcppArmadillo.
  • expose estimates effects of chemical mixtures, dose-response relationships, and potential interactions in environmental epidemiology.
  • multinomineq offers Bayesian inference for multinomial models with inequality constraints; it uses Rcpp, RcppArmadillo and RcppProgress.
  • partition implements a fast and flexible framework for agglomerative partitioning; it uses Rcpp and RcppArmadillo.
  • PLNmodels estimates and visualized Poisson-lognormal model and variants; it uses Rcpp and RcppArmadillo.
  • tokenbrowser creates browsers for reading full texts from a token list format.
  • rtweet collects and organizes Twitter data via the REST API.
  • gdalcubes processes collections of earth observation images as on-demand multispectral, multitemporal data cubes.
  • mssm estimates and analyses multivariate outcomes through time which depend on a latent variable; it uses Rcpp and RcppArmadillo.
  • genio implements readers and writers for genetics data file formats.
  • RcppXsimd offers modern and portable wrappers for SIMD intrinsics and parallel math implementations.
  • motmot fits models of trait evolution on phylogenies for continuous traits.
  • rpact offers confirmatory adaptive clinical trial design and analysis.
  • rstanemax perform sigmoidal Emax model fits using 'Stan' in a formula notation without writing 'Stan' model code.
  • LeMaRns explores length-based multispecies models; it uses Rcpp and RcppArmadillo.
  • jackalope provides a swift and versatile phylogenomics and sequencing simulator; it uses Rcpp and RcppArmadillo.
  • promotionImpact analyses and measures promotion effectiveness.
  • CircSpaceTime implements Bayesian modesl for spatio-temporal interpolation of circular data; it uses Rcpp and RcppArmadillo.
  • spinBayes offers semi-parametric gene-environment interaction via Bayesian variable selection; it uses Rcpp and RcppArmadillo.
  • missSBM handles missing data in stochastic block models; it uses Rcpp and RcppArmadillo.
  • bvartools offers Bayesian inference for VAR models; it uses Rcpp and RcppArmadillo.
  • pcFactorStan provides convenience functions for the pairwise comparison factor model; it uses Rcpp, RcppEigen and BH.
  • TruncatedNormal has functions for the truncated normal and Student distributions; it uses Rcpp and RcppArmadillo.
  • cblasr offers a C interface to BLAS functions.
  • CGGP run experiments using composite grid gaussian processes; it uses Rcpp and RcppArmadillo.
  • FisPro interfaces 'FisPro' to offer fuzzy inference system design and optimisation.
  • rflexscan contains functions for the detection of spatial clusters.
  • scModels fits discrete distribution modesl to count data.
  • SimJoint simulates joint distrutions given nonparametric marginals and covariances; it uses Rcpp, RcppArmadillo and RcppParallel.
  • EloRating quantifies animal dominance hierarchies; it uses Rcpp and RcppArmadillo.
  • cusum provides functions for constructing and evaluating CUSUM charts and RA-CUSUM charts.
  • AlphaPart partition and decomposes additive genetic values by information paths.
  • splithalf estimates internal consistency of tasks with permutation based 'split-half' reliability approach.
  • srm provides structural equations modeling for the social relations model; it uses Rcpp and RcppArmadillo.
  • websocket implements 'WebSocket' interface for Rs; it uses Rcpp, BH and AsioHeaders.
  • shrinkTVP does Bayesian estimation of time-varying parameter models with shrinkage priors via MCMC; it uses Rcpp and RcppArmadillo.
  • SDMtune adds a user-friendly framework for species distribution models.
  • cppRouting implements several variants of the Dijkstra algorithms for distances, shortest paths and isochrones.
  • rmdcev estimates discrete-continuous extreme value demand models; it uses Rcpp, RcppEigen, and BH.
  • IceCast applies statistical post-processing to improve sea ice predictions; it uses Rcpp and RcppArmadillo.
  • SeqNet generates RNA-Seq data from gene-gene association networks.
  • kernelPSI offers post-selection inference for nonlinear variable selection; it uses Rcpp and RcppArmadillo.
  • mcglm fits multivariate covariance generalized linear models (McGLMs) to data; it uses Rcpp and RcppArmadillo.
  • spatialfusion provides multivariate analysis of spatial data using a unifying spatial fusion framework.
  • bayes4psy contains several Bayesian models for data analysis of psychological tests; it uses Rcpp, BH and RcppEigen.
  • GiniDistance adds a new Gini measure of dependence between categorical and numerical variables; it uses Rcpp and RcppArmadillo.
  • psychonetrics implements multi-group (dynamical) structural equation models; it uses Rcpp and RcppArmadillo.
  • durmod estimates mixed proportional hazard competing risk models.
  • svars implements data-driven identification for structural vector autoregressive models; it uses Rcpp and RcppArmadillo.
  • jSDM fits joint species distribuion models in a hierarchical Bayesian framework; it uses Rcpp, RcppArmadillo and RcppGSL.
  • socceR evaluates sport tournament predictions, simulating results from individual soccer matches and tournaments.
  • kernelTDA exploits topological information in statistical learning algorithms; it uses Rcpp, RcppEigen and BH.
  • modeLLtest compares models with cross-validated log-likelihoods; it uses Rcpp and RcppArmadillo.
  • RKHSMetaMod estimates via ridge group sparse optimization; it uses Rcpp, RcppEigen and RcppGSL.
  • Qtools calculates unconditional and conditional quantiles; it uses Rcpp and RcppArmadillo.
  • intkrige offers a numerical implementation of interval-valued kriging; it uses Rcpp and RcppArmadillo.
  • metaBMA computes the posterior model probabilities for standard meta-analysis models; it uses Rcpp, RcppEigen, and BH.
  • svgViewR creates 3D animated, interactive visualizations that can be viewed in a web browser.
  • ulid generates universally unique lexicographically sortable identifiers.
  • DiscreteFDR implements multiple testing procedures with adaptation for discrete tests.
  • MGDrivE provides a model for reliable tests of various gene drive interventions for mosquito-borne diseases control.
  • lutz looks up time zones of point coordinates.
  • CautiousLearning adds control charts with guaranteed performance and cautious parameters learning; it uses Rcpp and BH.
  • LDheatmap produces a heat map of measures of pairwise linkage disequilibria between SNPs.
  • mergeTrees aggregates a set of trees with the same leaves to create a consensus tree.
  • offlineChange detects the number and location of change points.
  • RRI does tests and inference using residual randomization models; it uses Rcpp and RcppArmadillo.
  • perfectphyloR reconstructs perfect phylogenies from DNA sequence data; it uses Rcpp and RcppArmadillo.
  • borrowr estimates causal effects via borrowing betweeb data sources.
  • simts contains time series analysis support; it uses Rcpp and RcppArmadillo.
  • ShrinkCovMat provides nonparametric Steinian shrinkage estimators of the covariance matrix; it uses Rcpp and RcppArmadillo.
  • NetMix implements variational EM estimation of mixed-membership stochastic blockmodel for networks.
  • IMAGE performs mQTL mapping in bisulfite sequencing studies; it uses Rcpp and RcppArmadillo.
  • metadynminer3d implements biomolecular simulation analysis tools and visualizations.
  • MixMatrix provides sampling and density functions for normal and t distributions; it uses Rcpp and RcppArmadillo.
  • samurais offers statistical models for the unsupervised segmentation of time-series; it uses Rcpp and RcppArmadillo.
  • outliertree implements explainable outlier detection through decision tree conditioning.
  • rbart implements Bayesian trees for conditional mean and variance.
  • baggr runs and compares meta-analyses of data with hierarchical Bayesian models in Stan, it uses Rcpp, RcppEigen and BH.
  • bpgmm computes model-based clustering using Bayesian parsimonious Gaussian mixture models; it uses Rcpp and RcppArmadillo.
  • DTDA.cif fits nonparemetric estimates of the cumulative incidence of competing risk under double truncation.
  • exactextractr replaces the 'extract' function of the 'raster' package with one suitable for 'sf' polygons.
  • RcppHungarian offers a header library and R functions to solve minimum cost bipartite matching using the 'Hungarian' algorithm.
  • tfCox estimates piecemeal polynomial with data-adapative knots in in Cox model.
  • tokenizers.bpe implements (unsupervides) byte pair encoding text tokenzation.
  • blavaan fits a variety of Bayesian latent variable models.
  • exdex performs frequentist inference for the extremal index of a stationary time series; it uses Rcpp and RcppArmadillo.
  • hmlasso implements the lasso with a high-missing rate; it uses Rcpp and BH.
  • intsurv contains routines for integrative survial analysis models; it uses Rcpp and RcppArmadillo.
  • RMixtCompIO adds mixture models with heterogenous and (partially) missing data; it uses Rcpp and RcppEigen.
  • arrow interfaces Apache Arrow and its in-memory data frame data structures.
  • flamingos provides functional latent data models for clustering heterogeneous curves; it uses Rcpp and RcppArmadillo.
  • GillespieSSA2 implements Gillespie's Stochastic Simulation Algorithms.
  • scoper identifies B cell clones via spectral clustering methods; it uses Rcpp and RcppArmadillo.
  • meteor adds functions for weather and climate data manipulation to support dynamic ecological modelling.
  • diffman detects differentiation problems via an algorithm based on graph theory tools.
  • grainscape given a landscape resistance surface, creates grains of connectivity and minimum planar graph models .
  • PPMR implements efficient statistical inference of two-sample MR (Mendelian Randomization) analysis; it uses Rcpp and RcppArmadillo.
  • thurstonianIRT fits Thurstonian item response theory (IRT) models.
  • TestDesign use an optimal test design approach to fixed and adaptive test construction.
  • disk.frame allows larger-than-RAM disk-based data manipulations for arbitrarily-large datasets.
  • genodds calculates Agresti's generalized odds ratios.
  • highfrequency provides functionality to manage, clean and match highfrequency trades and quotes; it uses Rcpp and RcppArmadillo.
  • samc implements a framework for spatial absorbig Markov Chains; it uses Rcpp and RcppEigen.
  • scorepeak offers peak detection in time series following Palshikar (2009).
  • spread implements a stochastic 'SEIIaR' (susceptible, exposed, infectious, infectious symptomatic, recovered) metapopulation model.
  • bigutilsr adds utility functions for large-scale data.
  • Rirt focuses on item response theory modesl via parameter estimate, probability computation and visualization.
  • dexter manages psychometric analysis of data from psychological and educational tests; it uses Rcpp and RcppArmadillo.
  • gretel performs generalized path analysis for social networks.
  • hpa computes distribution function and conditional and marginal densities for Hermite approximations; it uses Rcpp and RcppArmadillo.
  • SimBIID uses state-space models in approximate Bayesian computation sequantial Monte Carlos (ABC-SMC); it uses Rcpp and RcppArmadillo.
  • sprintr implements sparse reluctant interaction modeling; it uses Rcpp and RcppArmadillo.
  • comat creates (weighted and integrated) co-occurence matricesfor spatial data; it uses Rcpp and RcppArmadillo.
  • HBV.IANIGLA offers an decoupled hydrological model for research and education.
  • visit implements a Bayesian phase i cancer vaccine trial design; it uses Rcpp, RcppEigen and BH.
  • exceedProb computes confidence intervals for the exceedance probability of normally distributed estimators; it uses Rcpp and BH.
  • fusedest provides block splitting algorithms for estimation with fused penalty functions; it uses Rcpp and RcppEigen.
  • symmetry tests for symmetry of data and model residuals; it uses Rcpp and RcppArmadillo.
  • corrcoverage corrects the coverage of credible sets from Bayesian genetic fine-mapping; it uses Rcpp and RcppArmadillo.
  • OwenQ evaluates the Owen-Q function for an integer valued degree of freedom; it uses Rcpp, RcppEigen and BH.
  • sirus classifies based on random forests via short lists of rules; it uses Rcpp and RcppEigen.
  • ddsPLS builds multi-data-driven sparse partial least squares models robust to missing samples for mono and multi-block data sets.
  • hdbm performs 'high dimensional Bayesian mediation' analysis; it uses Rcpp and RcppArmadillo.
  • IrishDirectorates adds a dynamic bipartite latent space model to analyse Irish company boards; it uses Rcpp and RcppArmadillo.
  • OncoBayes2 provides Bayesian logistic regression for oncology dose-escalation trials; it uses Rcpp, RcppEigen and BH.
  • avar implements the Allan variance and linear regression estimator; it uses Rcpp and RcppArmadillo.
  • Phase12Compare simulates SPSO and Efftox Phase 12 trials with correlated outcomes; it uses Rcpp and RcppArmadillo.
  • rMVP adds an efficient parallel tool for GWAS analysis; it uses Rcpp, RcppArmadillo, RcppEigen, and BH.
  • wv provides tiiks to compute and plot classical and robust wavelet variance quantities; it uses Rcpp and RcppArmadillo.
  • fixest offers fast and user-friendly estimation of econometric models with multiple fixed-effects.
  • mixedClust implements co-clustering for mixed-type data; it uses Rcpp and RcppArmadillo.
  • raceland provides pattern-based, zoneless analysis and visualization of (ethno)racial topography; it uses Rcpp and RcppArmadillo.
  • bbl offers supervised learning via Boltzmann Bayes model inference.
  • RPEGLMEN fits gamma and exponential GLMs with elastic net penalty via fast iterative shrinkage thresholding; it uses Rcpp and RcppEigen.
  • selectiveInference adds tools for post-selection inference for use with stepwise, least angle, lasso and others.
  • anomaly detects anomalies in time series data; it uses Rcpp and BH.
  • readxlsb imports data from Excel binary workbooks.
  • spnn implements scale invariant probabilistic Neural Networks; it uses Rcpp and RcppArmadillo.
  • rstantools offers tools for developing R packages interfacing with 'stan'.
  • coxmeg fits Cox mix-effects modesl for genome-wide association studies; it uses Rcpp and RcppEigen.
  • AGread reads output from ActiGraph Monitors for physical actitivy.
  • RaceID identifies cell types and inference of lineage trees from single-cell RNA-Seq data.
  • hsstan implements hierarchical shrinkage Stan models for biomarker selection; it uses Rcpp, RcppEigen and BH.
  • fable provides a collection of univariate and multivariate time series forecasting models.
  • freealg implements the free algebra of multivariate polynomials with non-commuting indeterminates.
  • hans computes the Haversine distance between pairs of latitude and longitude points.
  • TAG implements the transformed additive Gaussian (TAG) process ; it uses Rcpp and RcppArmadillo.
  • bama offers Bayesian mediation analysis; it uses Rcpp and RcppArmadillo.
  • goffda implements goodness-of-fit tests for functional data; it uses Rcpp and RcppArmadillo.
  • Rquefts provides quantitative evaluation of native fertility of tropical soils.
  • GPvecchia adds sclalable Gaussian Process approximations; it uses Rcpp, RcppArmadillo and BH.
  • sfheaders converts R objects to Simple Features objects without using the 'sf' library.
  • HTLR fits Bayesian Logistic regressions with heavy-tailed priors; it uses Rcpp and RcppArmadillo.
  • ohenery models ordinal random variables via softmax regression.
  • MPBoost performs treatment allocation in two-arm clinical trials; it uses Rcpp and BH.
  • PCMBaseCpp provides a C++ backend for package 'PCMBase' for phylogenetic comparison; it uses Rcpp and RcppArmadillo.
  • elfDistr computes the Kumaraswamy Complementary Weibull Geometric (Kw-CWG) lifetime probability distribution.
  • GMKMcharlie uses Gaussian mixture and Minkowski K-Mean for clustering weighted dataa; it uses Rcpp, RcppArmadillo and RcppParallel.
  • meteorits provides unified mixture-of-experts modeling and estimation; it uses Rcpp and RcppArmadillo.
  • HypergeoMat evaluates the hypergeometric functions of a matrix argument; it uses Rcpp and RcppArmadillo.
  • PosteriorBootstrap implements non-parametric sampling via parallel Monte Carlo.
  • ltsspca implements robust and sparse PCA; it uses Rcpp and RcppArmadillo.
  • mniw adds density evaluation and random number draws for the Matrix-Normal Inverse Wisihart distribution; it uses Rcpp and RcppEigen.
  • rayrender builds and raytraces 3D scenes.
  • Ryacas0 provides a legacy version of the Ryacas interfaces to the yacas computer-algebra system.
  • YPPE fits semiparametric modesl of lifetime data with crossing survival curves; it uses Rcpp, RcppEigen and BH.
  • locStra implement local population stratification methods; it uses Rcpp and RcppEigen.
  • rocTree adds ROC-guided survival trees and ensemble methods; it uses Rcpp and RcppArmadillo.
  • maotai supplies tools for matrix algebra, optimization and inference; it uses Rcpp and RcppArmadillo.
  • spectralGraphTopology learns graph structure from data via spectral contraints; it uses Rcpp, RcppArmadillo and RcppEigen.
  • BayesSUR offers Bayesian seemingly unrelated regression with general variable selection; it uses Rcpp and RcppArmadillo.
  • robregcc estimates parameters of the robust regression model with compositional covariates; it uses Rcpp and RcppArmadillo.
  • ALassoSurvIC implements the adaptive lasso for Cox regression with interval censored and possibly left truncated Data.
  • WaveSampling samples weakly assicated vectors (WAVE) from spatial data; it uses Rcpp and RcppArmadillo.
  • rbridge performs restricted bridge estimation, a special case of lasss / ridge / elastic net; it uses Rcpp and RcppArmadillo.
  • cnaOpt optimizes consistency and coverage in configurational causal modeling by extending the 'cna' package.
  • readthat reads text data from files or URLs.
  • downscaledl downscales remote-sensing images using deep learning; it uses Rcpp and RcppArmadillo.
  • phyr collects functions to do model-based phylogenetic analysis; it uses Rcpp and RcppArmadillo.
  • knn.covertree implements accurate k-nearest neighbours via cover trees; it uses Rcpp and RcppEigen.
  • rasterly creates raster image data with support for 'Plotly.js'.
  • spBFA implements a spatial Bayesian non-parametric factor analysis model; it uses Rcpp and RcppArmadillo.
  • tree.interpreter computes Random Forest prediction decomposition and feature importance measures; it uses Rcpp and RcppArmadillo.
  • fplot offers easy ways to plot common types of graphics with moderators using formulas from.
  • porridge does ridge-type estimation for a potpourri of modelse; it uses Rcpp and RcppArmadillo.
  • hilbertSimilarity quantifies similarity between high-dimensional single cell samples.
  • RobGARCHBoot adds bootstrap forecast denstities for GARCH models; it uses Rcpp and RcppArmadillo.
  • tlrmvnmvt implements low-rank methods for multivariate Normal and t probabilities; it uses Rcpp, RcppEigen and BH.
  • dipsaus offers a collection of helper functions; it uses Rcpp and RcppParallel.
  • qtl2pleio tests pleiotropy in multiparental populations; it uses Rcpp and RcppEigen.
  • BinSegBstrap computes piecewise smooth regression by bootstrapped binary segmentation.
  • calculus implements optmized functions for numerical and symbolic calculus.
  • fastlogranktest adds a fast way to calculate the p-value of one or multiple log-rank tests; it uses Rcpp and BH.
  • mixl runs simulated maximum likelihood estimation for mixed logit models for large datasets.
  • patternplot creates pie, ring and bar charts and box plots with colors, patterns, and images; it uses Rcpp and RcppParallel.
  • RAINBOWR test mulitple SNPs via 'Reliable Association INference By Optimizing Weights with R'; it uses Rcpp and RcppEige.
  • secr estimate density and size of spatially distributed animal populations; it uses Rcpp and RcppParallel.
  • abcADM fits accumulated damage models (ADM) and estimate reliability using ABC; it uses Rcpp and BH.
  • multbxxc contains auxiliary routines for the 'influx' software; it uses Rcpp and RcppArmadillo.
  • rhoR tests inter-rater-reliability (IRR) statistics; it uses Rcpp and RcppArmadillo.
  • AdaptGauss models mulitmodal distributions as Gaussian Mixture Models of components; it uses Rcpp and RcppArmadillo.
  • penPHcure selects variables in PH Cure models with time-varying covariates; it uses Rcpp and RcppArmadillo.
  • covafillr facilitates local polynomial regression in state-space models; it uses Rcpp and RcppEigen.
  • fastshap computes fast approximate Shapley values for any supervised learning model; it uses Rcpp and RcppArmadillo.
  • uchardet detects encodings using the 'uchardet' library from Mozilla.
  • mmpca generalized principal component analysis for integrative analysis; it uses Rcpp and RcppEigen.
  • RiemBaseExt provides a number of off-the-shelf algorithms for clustering, elementary computation, and more.
  • DCEM implements the improved Expectation Maximisation EM* and traditional EM algorithm for clustering finite gaussian mixture models.
  • rrcovHD adds robust multivariate methods for high-dimensional data.
  • RScelestial offers Steiner Tree based single-cell lineage tree inference.
  • treenomial compares trees using tree-defining polynomials; it uses Rcpp and RcppArmadillo.
  • orf implements Ordered Random Forests for modesl with ordered categorical outcomes.
  • FKSUM evaluates fast (univariate) kernel smothers based on recursive computations; it uses Rcpp and RcppArmadillo.
  • vinereg implements D-vine quantile regression models with pair-copulas; it uses Rcpp, RcppEigen and BH.
  • recurse computes revisitation metrics for trajectory data.
  • ampir predicts antimicrobial peptides from protein sequences on a genomic-wide scale.
  • BOSSreg performs best orthogonalized subset selection; it uses Rcpp and RcppArmadillo.
  • bmotif counts occurrences of motifs in bipartite networks.
  • SequenceSpikeSlab contains fast functions to calculate the exact Bayes posterior for the Sparse Normal Sequence Model.
  • ttbary computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns.
  • fastpos finds the critical sample size "point of stability" for a Pearson correlation; it uses Rcpp and RcppArmadillo.
  • qmix estimates finite quantile mixture model via MCMC; it uses Rcpp, RcppEigen, and BH.
  • RLumModel solves ordinary differential equations to understand luminence; it uses Rcpp and RcppArmadillo.
  • MMVBVS implements missing-at-random multivariate Bayesian variable selection; it uses Rcpp and RcppArmadillo.
  • rpart.LAD recursively partitions least absolute deviation regression trees.
  • SpatialKDE calculates kernel density estimates for spatial data, inspired by the 'Heatmap' tool of 'QGIS'.
  • cattonum encodes categorical features: dummy, frequency, label, leave-one-out, mean, median, and one-hot encoding.
  • hmgm implements high-dimensional mixed graphical models estimation.
  • LARisk estimates lifetime attributable risk of cancer from radiation exposure.
  • isotree offers isolation-based outlier detection via fast multi-threaded implementations.
  • TreeTools creates, modifies and analyses phylogenetic trees.
  • smog fits structural models by overlapping group penalty; it uses Rcpp and RcppArmadillo.
  • BayesMFSurv estimates a split population survival model for misclassification probability of failure; it uses Rcpp and RcppArmadillo.
  • fastmit estimates mutual information based on k-nearest neighbors; it uses Rcpp and RcppArmadillo.
  • diversityForest implements diversity forests using a fork of ranger; it uses Rcpp and RcppEigen.
  • publipha does Bayesian meta-analysis for publication bias and p-hacking; it uses Rcpp, RcppEigen and BH.
  • r2sundials wraps the 'SUNDIALS' ODE solver; it uses Rcpp and RcppArmadillo.
  • bggum implements Bayesian estimation of generalized graded unfolding model parameters.
  • cbq estimates conditional binary quantile models; it uses Rcpp, RcppEigen and BH.
  • MomTrunc computes arbitrary products moments for double truncated multivariate distributions; it uses Rcpp and RcppArmadillo.
  • fcaR provides tools to perform fuzzy formal concept analysis.
  • PRIMAL implements a parametric Simplex method for sparse learning; it uses Rcpp and RcppEigen.
  • BinaryDosage creates, merges and read binary dosage VCF or GEN files.
  • ced binds R to the Google Compact Encoding Detection Library.
  • impactflu quantifies the population-level impact of vaccination.
  • s2net implements the generalized semi-supervised elastic net; it uses Rcpp and RcppArmadillo.
  • carat provies covariate-adaptive randomization for clinical trials.
  • covglasso estimates sparse covariate matrices via the graphical lasso; it uses Rcpp and RcppArmadillo.
  • policytree computes multi-action treatment effect estimation and policy learning; it uses Rcpp and BH.
  • dscore quantifies child development 'D' scores; it uses Rcpp and RcppArmadillo.
  • LassoNet estimates penalized regression models using the 3CoSE algorithm.
  • seagull uses proximal gradient descent solvers for the lasso, group lasso, and sparse-group lasso; it uses Rcpp and RcppArmadillo.
  • statgenGWAS adds fast fits for single trait Genome Wide Association Studies (GWAS); it uses Rcpp and RcppArmadillo.
  • PoissonBinomial implements exact and approximate methods for the Poisson binomial distribution; it uses Rcpp and BH.
  • depcoeff computes coefficients measuring the dependence of two or more than two variables.
  • flying simulates bird flight range via two ODE methods.
  • fad does factor analysis via maximum likelihood in a Gaussian factor model using a the matrix-free methodology.
  • gridtext provides improved text support for 'grid' graphics.
  • santoku cuts data into intervals.
  • signnet analyses signed networks via measures for structural balance; it uses Rcpp and RcppArmadillo.
  • beam offers fast Bayesian inference in large graphical Gaussian models; it uses Rcpp, RcppArmadillo and BH.
  • clifford handles Clifford algebras via routines using the 'Map' class of the STL; it uses Rcpp and BH.
  • FSSF generates fully-sequential space-filling designs inside a unit hypercube; it uses Rcpp and RcppArmadillo.
  • geodiv calculates gradient surface metrics for continuous analysis of landscape features; it uses Rcpp and RcppArmadillo.
  • BayesReversePLLH fits Bayesian piecewise linear log-hazard model; it uses Rcpp and RcppArmadillo.
  • ergmito simulates and estimations exponential random graph models for small networks; it uses Rcpp and RcppArmadillo.
  • survPen fits hazard and excess hazard models with multidimensional penalized splines; it uses Rcpp and RcppEigen.
  • conquestr implements an R front-end to' ACER ConQuest'.
  • jmotif offers time series z-normalisations and pattern and anomaly discovery; it uses Rcpp and RcppArmadillo.
  • owl estimates glm models regularized with the sorted L1-norm; it uses Rcpp and RcppArmadillo.
  • RcppSimdJson connects R with the header-only 'simdjson' library for highly-performant JSON parsing.
  • rcrimeanalysis provides kernel density estimates for crime heat maps, geocoding, spatio-temporal map comparison and more.
  • GofKmt tests goodness of fit via a Khmaladze martingale transformation; it uses Rcpp and RcppArmadillo.
  • gwsem melds genome-wide association tests with structural equation modeling (SEM) using 'OpenMx'; it uses Rcpp and BH.
  • treestructure detects population structure from coalescent events in phylogenetic trees.
  • L1mstate fits L1-regularized multi-state models with sparse inputs; it uses Rcpp and RcppEigen.
  • BayesLN performs Bayesian inference under log-normality; it uses Rcpp and RcppArmadillo.
  • mrf2d fits, samples and visualizes for (hidden) Markov random field models; it uses Rcpp and RcppArmadillo.
  • mvrsquared computes the coefficient of determination for vector or matrix outcomes; it uses Rcpp and RcppArmadillo.
  • SeqDetect learns and detects (latent) process sequences.
  • ROptSpace reconstructs matrices from a few entries by inferring missing entries; it uses Rcpp and RcppArmadillo.
  • matricks contains matrix creation and manipulation helper functions.
  • superml builds machine learning models similar to Python's 'Scikit-Learn'; it uses Rcpp and BH.
  • mpMap2 (re)constructs linkage maps and haplotypes, estimates linkage disequilibrium and quantitative trait loci (QTL) mapping.
  • neatRanges collapse, partition, combine, fill gaps in and expand date/time ranges.
  • psychrolib implements a library for psychrometric properties of moist and dry air in both metric (SI) and imperial (IP) units.
  • quanteda.textmodels adds scaling models and classifiers for textual data; it uses Rcpp, RcppArmadillo and RcppParallel.
  • SBmedian offers scalable Bayes with median of subset posteriors via median-of-means; it uses Rcpp and RcppArmadillo.
  • IOHexperimenter provides the benchmarking module for the Iterative Optimization Heuristics Profiler; it uses Rcpp and BH.
  • PanelMatch applies methods to time-series cross-sectional data; it uses Rcpp, RcppArmadillo, and RcppEigen.
  • RestRserve create high-performance full featured HTTP APIs from R functions.
  • tsmp implements the matrix profile concept that was created by CS-UCR; it uses Rcpp and RcppParallel.
  • xrnet fits hierarchical regularized regression models to incorporate potentially informative external data; it uses Rcpp, RcppEigen, and BH.
  • tergmLite does fast simulations of simple temporal exponential random graph models.
  • hsrecombi estimates recombination rate and maternal LD in half-sibs.
  • DCPO estimates latent public opinion variables cross-nationally and over time from sparse survey data; it uses Rcpp, RcppEigen and BH.
  • ipaddress implements classes and functions for working with IP addresses and networks; it uses Rcpp and AsioHeaders.
  • hal9001 adds the highly adaptive lasso via sparse matrices of basis functions; it uses Rcpp and RcppEigen.
  • symengine interfaces from R to the 'SymEngine' library for fast symbolic manipulations.
  • offers a Bayesian repulsive biclustering model for periodontal data; it uses Rcpp and RcppArmadillo.
  • reads, processes and summarizes Agilent Cary 620 uFTIR Microscope hyperspectral images; it uses Rcpp and RcppArmadillo.
  • ctgt implments closed testing for large-scale pathwat analysis; it uses Rcpp and BH.
  • evgam fits various extreme value distributions with parameters of GAM form; it uses Rcpp and RcppArmadillo.
  • rayimage uses convolution-based techniques to generate camera bokeh, depth of field, and other effects; it uses Rcpp and RcppArmadillo.
  • processmapR visualizes event logs using directed graphs ('process maps'); it uses Rcpp and BH.
  • bartBMA implemements Bayesian Additive Regression Trees using Bayesian Model Averaging; it uses Rcpp, RcppArmadillo and BH.
  • maxnodf computes approximate maximisation of nestedness in bipartite graphs.
  • BoostMLR jointly models the multivariate longitudinal response and multiple covariates and time; it uses Rcpp and RcppArmadillo.
  • dann implements discriminant adaptive nearest neighbor classification; it uses Rcpp and RcppArmadillo.
  • CatReg solves linear and logistic regression models with a nonconvex penalty (SCOPE) efficiently.
  • RiemStiefel adds tools for inference, learning, and optimization on Stiefel manifolds; it uses Rcpp, RcppArmadillo and RiemBase.
  • gtfs2gps converts general transit feed specification (GFTS) data to GPS records.
  • registr registers (functional data) curves from exponential family functions; it uses Rcpp and RcppArmadillo.
  • collapse offers advanced and fast data transformations.
  • errum performs Bayesian estimation of the ErRUM model; it uses Rcpp and RcppArmadillo.
  • FDX adds multiple testing procedures for heterogeneous and discrete tests.
  • MCPModPack implements the multiple comparison and modeling method; it uses Rcpp and RcppEigen.
  • netcontrol adds various control theory methods for use in brain and psychological networks; it uses Rcpp and RcppArmadillo.
  • Radviz projects multidimensional data in 2d space; it uses Rcpp and RcppArmadillo.
  • causaloptim create special causal graphs and compute bounds on causal effects.
  • dbnR implements dynamic Bayesian network learning and inference.
  • eNchange uses ensemble methods for multiple changepoint detection.
  • parzer parses 'messy' geographic coordinates from various formats to decimal degree numeric values.
  • rkeops interfaces the 'KeOps' library for generic reductions of very large arrays; it uses Rcpp and RcppEigen.
  • terra adds classes and methods for spatial data, especially raster data.
  • tidyfast adds tidying functions built on 'data.table' to provide quick and efficient data manipulation.
  • eimpute efficiently imputes large scale matrices; it uses Rcpp and RcppEigen.
  • FaultTree constructs and displays fault trees for risk and reliability analysis; it uses Rcpp and RcppArmadillo.
  • GridOnClusters does joint discretization of data on a grid which preserves clusters.
  • MHMM estimates latent states and partitions via finite mixtures of hidden Markov models; it uses Rcpp, RcppArmadillo and BH.
  • MLModelSelection helps with model selection in multivariate longitudinal data analysis; it uses Rcpp and RcppArmadillo.
  • Rwofost implements the World Food Studies crop growth model.
  • SSLR; it uses Rcpp and RcppArmadillo.
  • edina perform a Bayesian estimation of the exploratory deterministic input, noisy and gate (EDINA) model; it uses Rcpp and RcppArmadillo.
  • eddington computes a cyclist's Eddington number including efficiently cumputing E over a vector.
  • nlmm fits linear mixed models based on convolutions of general Laplace distributions; it uses Rcpp, RcppArmadillo and BH.
  • milorGWAS implements fast approximate methods for mixed logistic regression in GWAS; it uses Rcpp and RcppEigen.
  • provides Reinert text clustering methods.
  • RiemGrassmann does statistical inference, optimization, and learning over the Grassmann manifold; it uses Rcpp and RcppArmadillo.
  • SpatialBSS adds blind source separation for multivariate spatial data; it uses Rcpp and RcppArmadillo.
  • Bestie offers Bayestiam estimation of intervention effects for directed acyclic graphs learned from binary data.
  • RTCC adds the randomized trait community clustering method.
  • spsurv eases semiparametric survival regression modelng based on Bernstein polynomials; it uses Rcpp, RcppEigen and BH.
  • sqp implements sequantial quadratic programming with equality and inequality constraints; it uses Rcpp, RcppArmadillo and RcppEigen.
  • text.alignment find text similarities using the Smith-Waterman algorithm.
  • cort provides S4 classes and methods to fit several copula models.
  • zcurve implements z-curve to estimate discovery and replicability rates based on published studies.
  • PINSPlus provides a robust approach for omics data integration and disease subtyping; it uses Rcpp, RcppArmadillo, and RcppParallel.
  • datasailr interfaces with the 'Sailr' language and library for fast row by row data processing.
  • infinitefactor implements a semi-parametric Bayesian infinite factor model; it uses Rcpp and RcppArmadillo.
  • mokken conducts Mokken scale analysis on test and questionnaire data.
  • ConsReg fits regression and ARMA models subject to constraints on coefficients.
  • activegp implements Gaussian process based design and analysis for the active subspace methods it uses Rcpp and RcppArmadillo.
  • VUROCS calculate the volume under the ROC surface for multi-class ROC analysis; it uses Rcpp and RcppArmadillo.
  • binGroup2 addresses the group testing identication problem via several methods; it uses Rcpp and RcppArmadillo.
  • dgumbel offers the Gumble distribution functions and gradients; it uses Rcpp and RcppEigen.
  • finity tests for finiteness of moments in a distribution; it uses Rcpp, RcppArmadillo and BH.
  • bigsparser stores sparse matrices (in dgCMatrix format) on disk; it uses Rcpp and RcppArmadillo.
  • GGClassification implements a binary large margin classifier based on the Gabriel Graph; it uses Rcpp and RcppEigen.
  • MIDASwrappeR wraps the 'micro-cluster based detector of anomalies in edge streams' (MIDAS).
  • gear implements common geostatistical analysis methods.
  • lodr fits linear regression models accounting for covariates with lower limit of detection (LOD); it uses Rcpp and RcppArmadillo.
  • textrecipes converts text to numerical features via tokenization, filtering, counting and feature hashing.
  • conquer computes fast and accurate convolution-type smoothed quantile regression; it uses Rcpp and RcppArmadillo.
  • FMCCSD efficiently estimates clustered current status data; it uses Rcpp and RcppArmadillo.
  • fits keyword-assisted topic models using collapsed Gibbs samplers; it uses Rcpp and RcppEigen.
  • catsim computes a structural similarity metric for binary and categorical 2D and 3D images.
  • regmed offeres mediation analysis by penalized structural equation models; it uses Rcpp and RcppArmadillo.
  • terrainmeshr triangulates and simplifies 3-dimensional terrain meshes.
  • bayescopulareg fits Bayesian copule generalized linear models; it uses Rcpp and RcppArmadillo.
  • cnum processes Chinese numerals; it uses Rcpp and BH.
  • fstcore provides R bindings to the Fstlib library for multithreaded serialization in fst format.
  • ldsr reconstructs linear dynamical systems; it uses Rcpp and RcppArmadillo.
  • rplum implements age-depth modeling of 210Pb-dated cores using Bayesian statistics.
  • surbayes offers Bayesian analysis of seemingly unrelated regression (SUR) models; it uses Rcpp and RcppArmadillo.
  • m2r interfaces with the Macaulay2 system for algebraic geometry and commutative algebra.
  • RcppUUID generates universally unique identifiers in either version 4 or 5.
  • cenROC estimates time-dependent ROC and AUC for censored survival data; it uses Rcpp and RcppEigen.
  • CLVTools offers tools for customer live value estimates; it uses Rcpp and RcppArmadillo.
  • nnlib2Rcpp provices a collection of neural networks including BP, Autoencodere, LVQ and MAM.
  • Rpvt estimates the pressure-volume-temperature properties of reservoir fluids; it uses Rcpp and RcppArmadillo.
  • targeted implements methods for targeted and semiparanetric inference.
  • blindrecalc computes blinded sample size recalculation.
  • DeCAFS detects abrupt change in time series with local random walk fluctuations and AR(1) noise.
  • roben offers robust Bayesian variable selection for gene-environment interactions; it uses Rcpp and RcppArmadillo.
  • Compack fits regressions with compositional covariates; it uses Rcpp and RcppArmadillo.
  • covsim provides VITA and IG simulation support for given covariance and marginals.
  • migrbc adds a production rules based classification of migration.
  • ProcData has general tools for exploratory process data analysis.
  • stringfish implements strings and string functions using an alternative representation.
  • wk parses well-known geometry via a minimal R and C++ API.
  • immunarch is a framework for bulk analyses of single-cell and T-cell receptor and antibody reprtoires.
  • match2C matches one sample using two criteria using a network-based method around a tripartite graph.
  • TransPhylo infers transmission trees from dated phylogeny to simulate and analyse outbreaks.
  • wbsd implements the 'theta' wild bootstrap size diagnostic; it uses Rcpp and RcppEigen.
  • PAutilities streamlines physical activity research via several utilities.
  • seqest solves binary classification problems via sequential methods; it uses Rcpp and RcppArmadillo.
  • sensitivity undertakes global sensitivity analysis of model outputs.
  • set6 adds an object-oriented interface for mathematical sets.
  • ess implements efficient stepwise selection in decomposable modes.
  • REndo fits linear models with endogenous regressors using latent instrumental variables; it uses Rcpp and RcppEigen.
  • higlasso estimates via the hierarchical integrative group lassso; it uses Rcpp and RcppArmadillo.
  • rbiom reads, write, transforms and summarizes 'BIOM' data files.
  • SocEpi offers functions for health inequality analysis.
  • glca fits latent class analysis models with group variable and covariates.
  • mrbayes does Bayesian summary data models for Medeloan randomization; it uses Rcpp, BH and RcppEigen.
  • MrSGUIDE implements 'GUIDE' for subgroup identification under multiple responses; it uses Rcpp, BH and RcppArmadillo.
  • BGGM fits Bayesian Gaussian Graphical Models; it uses Rcpp and RcppArmadillo.
  • Rdca provides tools for decline rate analysis and estimated ultimate recovery; it uses Rcpp and RcppArmadillo.
  • CausalQueries makes, updates, or queries binary causal models; it uses Rcpp, RcppEigen, BH.
  • gif recovers the precision matrix for Gaussian graphical models efficiently; it uses Rcpp and RcppEigen.
  • grpCox fits penalized Cox models with non-overlapping and overlapping grouped penalities; it uses Rcpp and RcppEigen.
  • nametagger wraps the 'nametag' library to find and extract entities in raw text.
  • sentencepiece does unsupervised text tokenization using byte pair encoding and unigram modelling.
  • tsfknn forecasts time series using neareast neighbors regression.
  • word2vec learns vector representation of words by continuous bag of words and skip-gram implementation of the 'word2vec' algorithm.
  • corels offers the 'Certifiably Optimal Rule Lists' (Corels) learner.
  • ChangePointTaylor implements Taylor's recursive method for detecting changes in mean.
  • lowpassFilter creates lowpass filters for use in ion channel recordings.
  • mashr implements multivariate adaptive shrinkage (mash); it uses Rcpp, RcppArmadillo and RcppGSL.
  • UComp offers automatic unobserved components models; it uses Rcpp and RcppArmadillo.
  • dmbc adds model-based clustering of binary dissimilarity measures; it uses Rcpp and RcppArmadillo.
  • RLumCarlo simulates luminiscence production in dosimetric materials; it uses Rcpp and RcppArmadillo.
  • molic detects multivariate outliers in possibly high-dimensional categorical data.
  • krige estimates geospatial kriging models for geographical point-referenced data.
  • BGVAR estimates Bayesian Global Vector Autoregression models; it uses Rcpp and RcppArmadillo.
  • rLFT assists in the manipulation and processing of linear features with the help of the 'sf' package.
  • drf implements distributional random forests; it uses Rcpp and RcppEigen.
  • gRim offers graphical Gaussian models for multivariate normal data and mixed interaction models; it uses Rcpp, RcppArmadillo and RcppEigen.
  • CamelUp implements the board game 'CamelUp' via a shiny app.
  • lazyarray persists large data arrays with lazy-loading on demand.
  • dcov implements fast distance covariance and relevant statistics; it uses Rcpp and RcppArmadillo.
  • dynmix estimates dynamic finite mixtures with state-space components; it uses Rcpp and RcppArmadillo.
  • DysPIA identifies dysregulated pathways based on a pre-ranked gene pair list.
  • kdtools provides various tools for working with multidimensional data; it uses Rcpp and BH.
  • malan implement male lineage analysis by simulating genealogies backwards; it uses Rcpp and RcppArmadillo.
  • peppm fits a piecewise exponential distribution with random time grids.
  • rBMF provides four boolean matrix factorization methods.
  • bayesbr applies the Beta regression model on the Bayesian statistical view; it uses Rcpp, RcppEigen, and BH.
  • bootUR performs bootstrap unit root tests for individual and multiple time series and panel data; it uses Rcpp and RcppArmadillo.
  • flexpolyline integrates with the flexible polyline encoding of HERE.
  • midasml estimates and predicts high-dimensional mixed frequency time series; it uses Rcpp and RcppArmadillo.
  • qtl2 provides quantitative trait locus mapping in experimental crosses; it uses Rcpp and RcppEigen.
  • RMPSH optimizes any black-box non-convex function on hyper-rectangular parameter spaces.
  • Rrelperm creates two- and three phase relative permeability estimates; it uses Rcpp and RcppArmadillo.
  • bellreg offers count regression models with overdispersion based on the Bell distribution; it uses Rcpp and RcppEigen.
  • ibdsim2 simulates chromosomal regions shared by family members.
  • springer models sparse group variable selection for gene-environment interactions in longitudinal data; it uses Rcpp and RcppArmadillo.
  • YPBP implements the Yang and Prentice model; it uses Rcpp, RcppEigen and BH.
  • lfmm adds inference for GEAs via latent factor models; it uses Rcpp and RcppEigen.
  • LOPART implements labeled optimal partitioning with constraints and penalties.
  • multinma offers Bayesnian network meta-analysis of individual and aggregate data; it uses Rcpp, RcppEigen and BH.
  • TreeDist computes distances between phylogenetic trees.
  • clustermq evaluates arbitrary function calls on HPC schedulers.
  • DMCfun computes a diffusion model of conflict (DMC) in reaction time tasks.
  • qtl2convert converts data between QTL mapping packages.
  • SITH implements a three-dimensional stochastic model of cancer growth and mutation.
  • TBRDist calculates rearrangement distances between unrooted phylogenetic trees.
  • backbone extracts the signed or binary backbone retaining only significant edges from a weighted graph.
  • ivdoctr ensures mutuallu consistent beliefs when using instrumental variables; it uses Rcpp and RcppArmadillo.
  • vcpen performs penalizes variance components analysis; it uses Rcpp and RcppArmadillo.
  • fishflux models elemental fluxes in fishes; it uses Rcpp, RcppEigen and BH.
  • iCellR analyses high-throughput single cell sequencing data.
  • hadron analyses correlation function from Lattice Monte Carlo simulations in physics.
  • GGMncv estimates Gaussian graphical models with non-convex penailties; it uses Rcpp and RcppArmadillo.
  • netClust clusters unilayer and multilayer network data; it uses Rcpp and RcppArmadillo.
  • paropt optimizes parameters of ordinary differential equations; it uses Rcpp and RcppArmadillo.
  • specs implements a single-equation penalized error-correction selector; it uses Rcpp and RcppArmadillo.
  • eBsc adds empirical Bayes smoothing splines with correlated errors; it uses Rcpp and RcppArmadillo.
  • EFAtools implements fast and flexible exploratory factor analysis; it uses Rcpp and RcppArmadillo.
  • Keyboard designed single-agent, drug-combination, or phase I/II dose-finding clinical trials.
  • sbm offers tools and functions for a variety of stochastic blockmodels (SBM); it uses Rcpp and RcppArmadillo.
  • ARCokrig models autoregressive co-kriging for multifidelity codes; it uses Rcpp, RcppArmadillo and RcppEigen.
  • rbscCI provides a fast calculation of the Blyth-Still-Casella confidence interval; it uses Rcpp and BH.

Last modified: Thu Jul 9 06:07:16 CDT 2020