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.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
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.