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What documentation exists for R?

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Chapter 5: R Add-On Packages 61<br />

treeglia Stem analysis functions <strong>for</strong> volume increment and carbon uptake assessment<br />

from tree-rings.<br />

trimcluster<br />

Cluster analysis with trimming.<br />

trip Spatial analysis of animal track data.<br />

tripack A constrained two-dimensional Delaunay triangulation package.<br />

truncgof Goodness-of-fit tests allowing <strong>for</strong> left truncated data.<br />

trust Local optimization using two derivatives and trust regions.<br />

tsDyn Time series analysis based on dynamical systems theory.<br />

tseries Package <strong>for</strong> time series analysis with emphasis on non-linear modelling.<br />

tseriesChaos<br />

Routines <strong>for</strong> the analysis of non-linear time series.<br />

tsfa Time Series Factor Analysis.<br />

tuneR Collection of tools to analyze music, handle wave files, transcription, etc.<br />

tutoR Student-friendly package to mask common functions.<br />

twang Toolkit <strong>for</strong> Weighting and Analysis of Nonequivalent Groups.<br />

tweedie Maximum likelihood computations <strong>for</strong> Tweedie exponential family models.<br />

udunits Interface to Unidata’s routines to convert units.<br />

ump Uni<strong>for</strong>mly Most Powerful tests.<br />

unbalhaar Function estimation via Unbalanced Haar wavelets.<br />

untb Ecological drift under the UNTB (Unified Neutral Theory of Biodiversity).<br />

urca Unit root and cointegration tests <strong>for</strong> time series data.<br />

urn Functions <strong>for</strong> sampling without replacement (simulated urns).<br />

uroot Unit root tests and graphics <strong>for</strong> seasonal time series.<br />

vabayelMix<br />

Variational Bayesian mixture model.<br />

varSelRF Variable selection using random <strong>for</strong>ests.<br />

vardiag Interactive variogram diagnostics.<br />

varmixt Mixture model on the variance <strong>for</strong> the analysis of gene expression data.<br />

vars VAR modeling.<br />

vcd Functions and data sets based on the book “Visualizing Categorical Data” by<br />

Michael Friendly.<br />

vegan Various help functions <strong>for</strong> vegetation scientists and community ecologists.<br />

verification<br />

Utilities <strong>for</strong> verification of discrete and probabilistic <strong>for</strong>ecasts.

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