What documentation exists for R?
What documentation exists for R?
What documentation exists for R?
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Chapter 5: R Add-On Packages 58<br />
sigma2tools<br />
Test of hypothesis about sigma2.<br />
signal A set of generally Matlab/Octave-compatible signal processing functions.<br />
simecol SIMulation of ECOLogical (and other) dynamic systems.<br />
simex SIMEX and MCSIMEX algorithms <strong>for</strong> measurement error models.<br />
simpleboot<br />
Simple bootstrap routines.<br />
skewt Density, distribution function, quantile function and random generation <strong>for</strong> the<br />
skewed t distribution of Fernandez and Steel.<br />
sm Software linked to the book “Applied Smoothing Techniques <strong>for</strong> Data Analysis:<br />
The Kernel Approach with S-Plus Illustrations” by A. W. Bowman and A.<br />
Azzalini, 1997, Ox<strong>for</strong>d University Press.<br />
sma Functions <strong>for</strong> exploratory (statistical) microarray analysis.<br />
smatr (Standardized) Major Axis estimation and Testing Routines.<br />
smoothSurv<br />
Survival regression with smoothed error distribution.<br />
smoothtail Smooth estimation of generalized Pareto distribution shape parameter.<br />
sn Functions <strong>for</strong> manipulating skew-normal probability distributions and <strong>for</strong> fitting<br />
them to data, in the scalar and the multivariate case.<br />
sna A range of tools <strong>for</strong> social network analysis, including node and graph-level<br />
indices, structural distance and covariance methods, structural equivalence detection,<br />
p* modeling, and network visualization.<br />
snow Simple Network of Workstations: support <strong>for</strong> simple parallel computing in R.<br />
snowFT Fault Tolerant Simple Network of Workstations.<br />
som Self-Organizing Maps (with application in gene clustering).<br />
sound A sound interface <strong>for</strong> R: Basic functions <strong>for</strong> dealing with ‘.wav’ files and sound<br />
samples.<br />
sp A package that provides classes and methods <strong>for</strong> spatial data, including utility<br />
functions <strong>for</strong> plotting data as maps, spatial selection, amd much more.<br />
spBayes Fit Gaussian models with potentially complex hierarchical error structures by<br />
Markov chain Monte Carlo (MCMC).<br />
spatclus Arbitrarily shaped multiple spatial cluster detection <strong>for</strong> case event data.<br />
spatial Functions <strong>for</strong> kriging and point pattern analysis from “Modern Applied Statistics<br />
with S” by W. Venables and B. Ripley. Contained in the ‘VR’ bundle.<br />
Recommended.<br />
spatialCovariance<br />
Computation of spatial covariance matrices <strong>for</strong> data on rectangles using one<br />
dimensional numerical integration and analytic results.
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