statmod v1.4.17

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by Gordon Smyth

Statistical Modeling

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.

Functions in statmod

Name Description
forward Forward Selection of Covariates for Multiple Regression
meanT Mean t-Statistic Between Two Groups of Growth Curves
invgauss Inverse Gaussian Distribution
power.fisher.test Power of Fisher's Exact Test for Comparing Proportions
remlscore REML for Heteroscedastic Regression
logmdigamma Log Minus Digamma Function
gauss.quad Gaussian Quadrature
sage.test Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
matvec Multiply a Matrix by a Vector
glm.scoretest Score Test for Adding a Covariate to a GLM
tweedie Tweedie Generalized Linear Models
hommel.test Test Multiple Comparisons Using Hommel's Method
mixedModel2 Fit Mixed Linear Model with 2 Error Components
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
welding Data: Tensile Strength of Welds
elda Extreme Limiting Dilution Analysis
1.StatMod Introduction to the StatMod Package
growthcurve Compare Groups of Growth Curves
mscale M Scale Estimation
gauss.quad.prob Gaussian Quadrature with Probability Distributions
qresiduals Randomized Quantile Residuals
plot.limdil Plot or print an object of class limdil
glmgam.fit Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
Digamma Digamma generalized linear model family
permp Exact permutation p-values
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Date 2013/02/06
License GPL (>= 2)
Packaged 2013-02-08 02:12:26 UTC; smyth
Repository CRAN
Date/Publication 2013-02-08 07:23:30

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