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What documentation exists for R?

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Chapter 5: R Add-On Packages 59<br />

spatialkernel<br />

Nonparameteric estimation of spatial segregation in a multivariate point process.<br />

spatstat Data analysis and modelling of two-dimensional point patterns, including multitype<br />

points and spatial covariates.<br />

spc Statistical Process Control: evaluation of control charts by means of the zerostate,<br />

steady-state ARL (Average Run Length), setting up control charts <strong>for</strong><br />

given in-control ARL, and plotting of the related figures.<br />

spdep A collection of functions to create spatial weights matrix objects from polygon<br />

contiguities, from point patterns by distance and tesselations, <strong>for</strong> summarising<br />

these objects, and <strong>for</strong> permitting their use in spatial data analysis; a collection<br />

of tests <strong>for</strong> spatial autocorrelation, including global Moran’s I and Geary’s C,<br />

local Moran’s I, saddlepoint approximations <strong>for</strong> global and local Moran’s I;<br />

and functions <strong>for</strong> estimating spatial simultaneous autoregressive (SAR) models.<br />

(Was <strong>for</strong>merly the three packages: spweights, sptests, and spsarlm.)<br />

spe Stochastic Proximity Embedding.<br />

spectralGP<br />

Approximate Gaussian processes using the Fourier basis.<br />

spectrino Spectra organizer, visualization and data extraction from within R.<br />

spgrass6 Interface between the GRASS 6.0 geographical in<strong>for</strong>mation system and R.<br />

spgwr Geographically weighted regression.<br />

splancs Spatial and space-time point pattern analysis functions.<br />

ssanv Sample Size Adjusted <strong>for</strong> Nonadherence or Variability of input parameters.<br />

sspir State SPace models In R.<br />

st Shrinkage t statistic.<br />

startupmsg<br />

Utilities <strong>for</strong> start-up messages.<br />

stashR A Set of Tools <strong>for</strong> Administering SHared Repositories.<br />

statmod Miscellaneous biostatistical modelling functions.<br />

stepPlr L2 penalized logistic regression with a stepwise variable selection.<br />

stepwise A stepwise approach to identifying recombination breakpoints in a sequence<br />

alignment.<br />

stinepack Stineman interpolation package.<br />

stochmod Learning and inference algorithms <strong>for</strong> a variety of probabilistic models.<br />

strucchange<br />

Various tests on structural change in linear regression models.<br />

subselect A collection of functions which assess the quality of variable subsets as surrogates<br />

<strong>for</strong> a full data set, and search <strong>for</strong> subsets which are optimal under various<br />

criteria.

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