Package Index


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CoCoAnConstrained Correspondence Analysis
Devore5Data sets from Devore's "Prob and Stat for Eng (5th ed)"
GeneSOMSelf-Organizing Map
KernSmoothFunctions for kernel smoothing for Wand & Jones (1995)
NISTnlsNonlinear least squares examples from NIST
OarrayArrays with arbitrary offsets
RstreamsBinary file stream support functions
akimaInterpolation of irregularly spaced data
ashDavid Scott's ASH routines
baseThe R base package
blightyUnited Kingdom coastlines
bootstrapFunctions for the Book "An Introduction to the Bootstrap"
cclustConvex Clustering Methods and Clustering Indexes
cfaAnalysis of configuration frequencies
chronChronological objects which can handle dates and times
clusterFunctions for clustering (by Rousseeuw et al.)
codaOutput analysis and diagnostics for MCMC
conf.designConstruction of factorial designs
ctestClassical Tests
dateFunctions for handling dates
dse1Dynamic Systems Estimation (time series package)
dse2Dynamic Systems Estimation - extensions
edaExploratory Data Analysis
event.chart
exactRankTests Exact Distributions for Rank Tests
fdimFunctions for calculating fractal dimension.
foreignRead data stored by Minitab, S, SAS, SPSS, Stata, ...
fracdiffFractionally differenced ARIMA (p,d,q) models
gafitGenetic Algorithm for Curve Fitting
geeGeneralized Estimation Equation solver
gldBasic functions for the generalised (Tukey) lambda distribution
gregmiscGreg's Miscellaneous Functions
gssGeneral Smoothing Splines
ineqMeasuring inequality, concentration and poverty
leapsregression subset selection
lgtdlA set of methods for longitudinal data objects.
lmtestTesting Linear Models
logsplineLogspline density estimation
lokernKernel Regression Smoothing with Local or Global Plug-in Bandwidth
lpridgeLocal Polynomial (Ridge) Regression
lqsResistant Regression and Covariance Estimation
mclustModel-based cluster analysis
meanscoreMeanscore method for missing covariate data in logistic regression models
mgcvMultiple smoothing parameter estimation and GAMs by GCV
mlbenchMachine Learning Benchmark Problems
modregModern Regression: Smoothing and Local Methods
multivMultivariate Data Analysis Routines
mvaClassical Multivariate Analysis
mvnmleML estimation for multivariate normal data with missing values
mvtnormMultivariate Normal and T Distribution
nlmeLinear and nonlinear mixed effects models
nlrqNonlinear quantile regression
nlsNonlinear regression
normAnalysis of multivariate normal datasets with missing values
ozPlot the Australian coastline and states
panelPanel
permaxpermax
pinktoeconvert S trees to HTML/perl for interactive tree traversal
polymarsPolychotomous Regression based on MARS
princurveFits a Principal Curve in Arbitrary Dimension
psplinePenalized Smoothing Splines
quadprogFunctions to solve Quadratic Programming Problems.
rmetaMeta-analysis.
scatterplot3d3D Scatter Plot
sgeostatAn Object-oriented Framework for Geostatistical Modeling in S+
smkernel smoothing methods: Bowman & Azzalini (1997)
smaStatistical Microarray Analysis
snThe skew-normal distribution
snaTools for Social Network Analysis
splancsSpatial and Space-Time Point Pattern Analysis
splinesRegression Spline Functions and Classes
stepfunStep Functions, including Empirical Distributions
survival5Survival analysis, including penalised likelihood.
syskernCoding Kernel for R/S Differences
tcltkInterface to Tcl/Tk
tensorTensor product of arrays
tframeTime Frame coding kernel
tripackTriangulation of irregularly spaced data
tsTime series functions
twostageOptimal design of two-stage-studies using the Mean Score method
xtableExport tables
zmatrixZero-offset matrices