R Lanugage Feature: R Applications and Extensions
Open-source extensions to R via packages available for download from the CRAN network extend the applications and capabilities of R and Revolution R Enterprise.
* Requires Revolution R Enterprise
** Requires Revolution R Enterprise for IBM Netezza
*** Requires additional open-source community packages from CRAN
Applications
- Chemometrics and Computational Physics
- Clinical Trial Design, Monitoring, and Analysis
- Computational Econometrics
- Analysis of Ecological and Environmental Data
- Design of Experiments (DoE) & Analysis of Experimental Data
- Empirical Finance
- Statistical Genetics
- Medical Image Analysis
- Natural Language Processing (NLP)
- Official Statistics & Survey Methodology
- Analysis of Pharmacokinetic Data
- Phylogenetics, Especially Comparative Methods
- Psychometric Models and Methods
- Reproducible Research
- Statistics for the Social Sciences
Data Mining and Machine Learning
- Association rules arules and Cubist
- Tree Based Methods
- Recursive partitioning with unbiased variable selection party
- Binary tree visualization party
- Nearest neighbor trees knnTree
- Logic Regression LogicReg
- Visualization of trees maptree and pinktoe
- Trees with random effects REEMtree and longRPart
- Arid trees for ordinal responses rpartOrdinal
- Evolutionary learning of globally optimal trees RPMM
- Random Forests randomFores
- Bagging for regression, classification and survival analysis ipred
- Quantile regression quantregForest
- Forest of logic regression trees LogicForest and LogicReg
- Variable selection for random forests varSelRF and Boruta
- Oblique Trees oblique.tree
- Regularization and Shrinkage Methods
- Lasso lasso2 and lars
- Lasso for groups grplasso
- L1 (lasso) and L2 (ridge) shrinkage glmnet
- L1 and L2 shrinkage for GLM and Cox models penalized
- Semiparametric additive hazards models under lasso penalties are offered by package ahaz
- Variable selection through clone SVMs penalizedSVM
- Penalized discriminant analysis hda, rda, sda, and SDDA
- Boosting
- Tree based gradient descent boosting gbm
- Hinge-loss optimization bst
- Generalized Additive Models (GAM) GAMBoost and mboost
- Likelihood boosting for Cox models CoxBoost
- Likelihood boosting for mixed models GMMBoost
- Tree based boosting with errors in variables gbev
- GAMLS models gamboostLSS
- Support Vector Machines
- SVMs e1071 and kernlab
- Relevant dimension estimation for feature spaces rdetools
- Estimation of cost parameters svmpath
- Bayesian Methods
- Bayesian Additive Regression Trees BayesTree
- Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes including Bayesian CART and treed linear models tgp
- Bayesian logistic regression models with high-order interactions BPHO
- Naive Bayes models for binary classification with bias corrected feature selection predbayescor
- Optimization using Genetic Algorithms Packages gafit, rgp, and rgenoud
- Model selection and validation
- Hyper-parameter tuning e1071
- Error rate estimation ipred
- ROC curves ROCR
- Tuning predictive model parameters caret
- Data Mining GUI rattle
Statistical Methodology
- Bayesian Inference
- Cluster Analysis & Finite Mixture Models
- Differential Equations
- Probability Distributions
- Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization
- High-Performance and Parallel Computing with R (HPC)
- Machine Learning & Statistical Learning
- Multivariate Statistics
- Optimization and Mathematical Programming
- Robust Statistical Methods
- Analysis of Spatial Data
- Survival Analysis
- Time Series Analysis
- Graphical Models in R
Other Distributions Available in Third-Party Packages ***
- Discrete distributions:
- Dirac distribution distr.
- Truncated versions
- the binomial
- Poisson
- Conway-Maxwell-Poisson distribution : compoisson.
- Delaporte distribution : gamlss.dist.
- Hypergeometric distributions : BiasedUrn
- Generalized hypergeometric SuppDists.
- Logarithmic distribution : VGAM and gamlss.dist.
- Multinomial distribution : mc2d, LearnBayes and MCMCpack.
- Sichel distribution : gamlss.dist.
- Triangle distribution : TRIANG.
- Zero inflated/modified (ZI/ZM) distributions : gamlss.dist.
- Zipf law : Package zipfR
- Zipf-Mandelbrot distributions. VGAM
- Further distributions :VGAM
- Skellam skellam
- Yule-Simon
- Zeta and Haight's Zeta
- Borel-Tanner
- Felix distribution
- Continuous distributions:
- Arcsine distribution : distr.
- Beta distribution and its extensions :
- zero and one inflated beta distribution gamlss.dist
- generalized beta of the first and second kind. VGAM, GB2 and mc2d
- Lomax
- inverse Lomax
- Dagum
- Fisk (aka log logistic), (inverse or not)
- paralogistic
- Singh-Maddala distribution
- Benini distribution : VGAM.
- Birnbaum-Saunders distribution VGAM
- Generalized Birnbaum-Saunders distribution gbs.
- Box Cox distributions : gamlss.dist
- Box-Cox normal
- Box-Cox power exponential
- Box-Cox t distributions.
- Cardioid distribution : VGAM.
- Cauchy distribution : lmomco.
- Chen distribution : reliaR.
- Davies distribution : Davies
- Dirichlet distribution : MCMCpack, mc2d, hyperdirichlet and bayesm.
- Generalized and the hyperdirichlet distributions hyperdirichlet.
- Exponential distribution and its extensions : actuar
- Logistic exponential,
- Marshall-Olkin Extended Exponential and
- Exponential extension distributions.
- Frechet distribution : VGAM and evd.
- Friedman's Chi distribution : Provided in SuppDists.
- Gamma distribution and its extensions :
- Variance gamma distribution. VarianceGamma
- Log Gamma
- Generalized Gamma
- Gaussian (or normal) distribution and its extensions :
- General Error Distribution (also known as exponential power distribution) : normalp and fExtremes
- Generalized Extreme Value distribution : lmomco ,VGAM, evd, evir, FAdist and fExtremes
- Gompertz distribution : Provided in reliaR.
- Gumbel distribution : lmomco, VGAM, gamlss.dist, FAdist, reliaR and evd.
- Hyperbolic distribuion : fBasics, ghyp, GeneralizedHyperbolic and HyperbolicDist
- Johnson distribution : SuppDists.
- Kendall's tau distribution : SuppDists.
- Kruskal Wallis distribution : SuppDists.
- Kappa distribution :lmomco and FAdist.
- Kumaraswamy distribution : VGAM and lmomco.
- (Tukey) Lambda distribution and its extensions :
- Tukey's H distribution
- Lambert W x F distribution.
- Lambert W x F distributions : LambertW
- Laplace and asymetric Laplace distribution :VGAM and HyperbolicDist packages. Laplace distribution
- Linear failure rate distribution : Provided in reliaR.
- Loglog distribution : Provided in reliaR.
- Logistic distributions and its extensions :actuar and VGAM
- Exponential Logistic Distribution reliaR
- Pareto distribution : VGAM
- Pearson's distributions : Pearson type III lmomco and FAdist
- Log-Pearson type III distribution FAdist. PearsonDS
- Pearson's Rho distribution :SuppDists.
- Planck's distribution : Runuran.
- Phase-type distributions : actuar.
- Power Exponential reliaR
- Rice distribution : VGAM and lmomco.
- Sinh-Arcsinh distribution :in gamlss.dist.
- Slash distribution :VGAM.
- Spearman's Rho distribution : SuppDists.
- stable distributions : fBasics and stabledist,
- The skewed Student distribution iskewt, sn and gamlss.dist
- Triangle/trapezoidal distribution :triangle, mc2d and VGAM
- Tweedie distribution : tweedie.
- Wakeby distribution : Provided in lmomco.
- Weibull distribution and its extensions :.
- Wishart and inverse Wishart distributions : MCMCpack and bayesm.
- Mixture of probability laws:
- Cauchy-polynomial quantile mixture :Lmoments.
- Gaussian mixture : mixtools
- Gamma mixture : Gamma shape mixtures GSM
- Generic mixtures : distr. gamlss.mx
- Poisson Binomial distribution : poibin
- Poisson lognormal distribution : poilog
- Poisson-Tweedie exponential family models : poistweedie.
- Student mixture : AdMit
- von Mises Fisher mixture : movMF
- Random matrices:
- Copulas: