Learn R Programming
⚠️There's a newer version (1.5.0) of this package.Take me there.

statmod (version 1.4.4)

Statistical Modeling

Description

Various statistical modeling functions including growth curve comparisons, limiting dilution analysis, mixed linear models, heteroscedastic regression, Tweedie family generalized linear models, the inverse-Gaussian distribution and Gauss quadrature.

Copy Link

Version

Install

install.packages('statmod')

Monthly Downloads

64,770

Version

1.4.4

License

LGPL (>= 2)

Maintainer

Gordon Smyth

Last Published

April 2nd, 2010

Functions in statmod (1.4.4)

gauss.quad.prob

Gaussian Quadrature with Probability Distributions
Digamma

Digamma generalized linear model family
1.StatMod

Introduction to the StatMod Package
glmgam.fit

Gamma Generalized Linear Model with Identity Link
growthcurve

Compare Groups of Growth Curves
logmdigamma

Log Minus Digamma Function
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
invgauss

Inverse Gaussian Distribution
mixedModel2

Fit Mixed Linear Model with 2 Error Components
elda

Extreme Limiting Dilution Analysis
qresiduals

Randomized Quantile Residuals
sage.test

Compare Two SAGE Libraries
glm.scoretest

Score Test for Adding a Covariate to a GLM
meanT

Mean t-Statistic Between Two Groups of Growth Curves
welding

Data: Tensile Strength of Welds
hommel.test

Test Multiple Comparisons Using Hommel's Method
deprecated

Deprecated Functions in statmod Package
fitNBP

Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
remlscoregamma

Approximate REML for gamma regression with structured dispersion
gauss.quad

Gaussian Quadrature
permp

Exact permutation p-values
matvec

Multiply a Matrix by a Vector
remlscore

REML for Heteroscedastic Regression
tweedie

Tweedie Generalized Linear Models
plot.limdil

Plot or print an object of class limdil