Introduction to the StatMod Package

This library packages together those functions, other than those for microarray data analysis, which I wish to make public.

Generalized Linear Models

tweedie, canonic.digamma, unitdeviance.digamma, varfun.digamma, cumulant.digamma, d2cumulant.digamma, meanval.digamma and logmdigamma are functions to fit non-standard generalized linear models related to the gamma distribution. qres implements randomized quantile residuals for generalized linear models.

Growth Curves

compareGrowthCurves, compareTwoGrowthCurves and meanT are functions to test for differences between growth curves with repeated measurements on subjects.

Probability Distributions

qinvgauss, dinvgauss, pinvgauss and rinvgauss perform probability calculations for the inverse Gaussian distribution. gauss.quad and gauss.quad.prob compute Gaussian Quadrature with probability distributions.


hommel.test performs Hommel's multiple comparison tests. power.fisher.test computes the power of Fisher's Exact Test for comparing proportions. sage.test is a fast approximation to Fisher's exact test for each tag for comparing two Serial Analysis of Gene Expression (SAGE) libraries.

Variance Models

randomizedBlock, randomizedBlockFit and glmgam.fit fit mixed linear models. remlscore and remlscoregamma fit heteroscedastic and varying dispersion models by REML. welding is an example data set.

Matrix Computations

matvec and vecmat facilitate multiplying matrices by vectors.

  • 1.StatMod
Documentation reproduced from package statmod, version 1.1.0, License: LGPL version 2 or newer

Community examples

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