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.