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