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 45<br />
homals Homogeneity Analysis (HOMALS) package with optional Tcl/Tk interface.<br />
homtest Homogeneity tests <strong>for</strong> regional frequency analysis.<br />
hopach Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH).<br />
hot Computation on micro-arrays.<br />
howmany A lower bound <strong>for</strong> the number of correct rejections.<br />
httpRequest<br />
Implements HTTP Request protocols (GET, POST, and multipart POST requests).<br />
hwde Models and tests <strong>for</strong> departure from Hardy-Weinberg equilibrium and independence<br />
between loci.<br />
hybridHclust<br />
Hybrid hierarchical clustering via mutual clusters.<br />
ibdreg Regression methods <strong>for</strong> IBD linkage with covariates.<br />
ifa Independent Factor Analysis.<br />
ifs Iterated Function Systems distribution function estimator.<br />
igraph Routines <strong>for</strong> simple graphs.<br />
iid.test Testing whether data is independent and identically distributed.<br />
impute Imputation <strong>for</strong> microarray data (currently KNN only).<br />
ineq Inequality, concentration and poverty measures, and Lorenz curves (empirical<br />
and theoretic).<br />
intcox Implementation of the Iterated Convex Minorant Algorithm <strong>for</strong> the Cox proportional<br />
hazard model <strong>for</strong> interval censored event data.<br />
iplots Interactive graphics <strong>for</strong> R.<br />
ipred Improved predictive models by direct and indirect bootstrap aggregation in<br />
classification and regression as well as resampling based estimators of prediction<br />
error.<br />
irr Coefficients of Interrater Reliability and Agreement <strong>for</strong> quantitative, ordinal<br />
and nominal data.<br />
ismev Functions to support the computations carried out in “An Introduction to Statistical<br />
Modeling of Extreme Values;’ by S. Coles, 2001, Springer. The functions<br />
may be divided into the following groups; maxima/minima, order statistics,<br />
peaks over thresholds and point processes.<br />
its An S4 class <strong>for</strong> handling irregular time series.<br />
kappalab The “laboratory <strong>for</strong> capacities”, an S4 tool box <strong>for</strong> capacity (or non-additive<br />
measure, fuzzy measure) and integral manipulation on a finite setting.<br />
kernlab Kernel-based machine learning methods including support vector machines.
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