| 1.StatMod {statmod} | R Documentation |
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).
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.
compareGrowthCurves,
compareTwoGrowthCurves and
meanT
are functions to test for differences between growth curves with repeated measurements on subjects.
limdil
implements limiting dilution analysis using complemenary log-log binomial generalized linear model regression, with some improvements on previous programs.
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.
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.
matvec and vecmat facilitate multiplying matrices by vectors.
Gordon Smyth