1.StatMod {statmod} | R Documentation |

## Introduction to the StatMod Package

### Description

This library packages together those functions, other than those for microarray data analysis, which I wish to make public.
A change-log for this package is available from
http://www.statsci.org/r/changelog.txt.

Contributions to this library have also been made by Paul Bagshaw, Centre National d'Etudes des Telecommunications (DIH/DIPS), France (`qinvgauss`

), and Trevor Park, Department of Statistics, University of Florida (`rinvgauss`

).

### 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.

### Limiting Dilution Analysis

`limdil`

implements limiting dilution analysis using complemenary log-log binomial generalized linear model regression, with some improvements on previous programs.

### 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.

### Tests

`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

`mixedModel2`

,
`mixedModel2Fit`

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.

### Author(s)

Gordon Smyth

[Package

*statmod* version 1.2.4

Index]