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Additional packages can be added quickly and simply.

Packages in R Installation as

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of Fall 2019

Base Packages

PackageDescription
baseThe R Base Package
bootBootstrap Functions (Originally by Angelo Canty for S)
classFunctions for Classification
cluster"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
codetoolsCode Analysis Tools for R
compilerThe R Compiler Package
datasetsThe R Datasets Package
foreignRead Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...
graphicsThe R Graphics Package
grDevicesThe R Graphics Devices and Support for Colours and Fonts
gridThe Grid Graphics Package
KernSmoothFunctions for Kernel Smoothing Supporting Wand & Jones (1995)
latticeTrellis Graphics for R
MASSSupport Functions and Datasets for Venables and Ripley's MASS
MatrixSparse and Dense Matrix Classes and Methods
methodsFormal Methods and Classes
mgcvMixed GAM Computation Vehicle with Automatic Smoothness Estimation
nlmeLinear and Nonlinear Mixed Effects Models
nnetFeed-Forward Neural Networks and Multinomial Log-Linear Models
parallelSupport for Parallel computation in R
rpartRecursive Partitioning and Regression Trees
spatialFunctions for Kriging and Point Pattern Analysis
splinesRegression Spline Functions and Classes
statsThe R Stats Package
stats4Statistical Functions using S4 Classes
survivalSurvival Analysis
tcltkTcl/Tk Interface
toolsTools for Package Development
translationsThe R Translations Package
utilsThe R Utils Package

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