Summary of the classification of R language common packages

Source: Internet
Author: User

Common packages:

--Data processing: Lubridata, Plyr, RESHAPE2,STRINGR,FORMATR,MCMC;

--Machine learning: nnet,rpart,tree,party,lars,boost,e1071,bayestree,gafit,arules;

--Visual package: Ggplot2,lattice,googlevis;

--Map package: Ggmap,rgooglemaps,rworldmap;

Financial package:

--time series: zoo,xts,chorn,its,timedate;

--Financial Analysis: Quantmod,rquantlib,portfolio,performanceanalytics,ttr,sde,yieldcurve;

--risk management: PARMA,EVD,EVDBAYES,EVIR,EXTREMES,ISMEV;

Data Mining Package:

--Cluster Type:

--based on the partitioning method: Kmeans, Pam, PAMK, Clara;

--Hierarchy-based approach: Hclust, Pvclust, Agnes, Diana

--model-based approach: Mclust

--density-based approach: Dbscan

--based on the method of drawing: Plotcluster, Plot.hclust

--based on the verification method: Cluster.stats

--Text Mining: TM

--Classification:

--Tree: Rpart, Ctree

--Random Forest: Cforest, Randomforest

--Return, Logistic, POISSON,GLM, predict, residuals

--Survival analysis: Survfit, Survdiff, coxph

--Statistics
--Commonly used packages: Base R, Nlme

--Variance Analysis: AoV, ANOVA

--Density Analysis: density

--Hypothesis test: T.test, Prop.test, Anova, AoV

--linear hybrid model: LME

--principal component analysis and Factor analysis: Princomp

--Optimization

--simplest: Optimize in the stat packet, Optim function

--Nonlinear Optimization: BB Package

--Nonlinear optimization of linear inequality constraints: constroptim,adaptive barrier algorithm

--Nonlinear box constrained optimization: NLMINB

--Nonlinear optimization with constraints: SOLNP function in RSOLNP package, constroptim.nl () function in Alabama package

--Linear Programming: LP function in Lpsolve package, Solvelp function in Linprog package

--Chinese word breaker pack

--RWORDSEQ Chinese Word packet

Summary of the classification of R language common packages

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