statmod v1.4.19

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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
gauss.quad Gaussian Quadrature
qresiduals Randomized Quantile Residuals
forward Forward Selection of Covariates for Multiple Regression
glmgam.fit Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
growthcurve Compare Groups of Growth Curves
power.fisher.test Power of Fisher's Exact Test for Comparing Proportions
mixedModel2 Fit Mixed Linear Model with 2 Error Components
elda Extreme Limiting Dilution Analysis
logmdigamma Log Minus Digamma Function
glm.scoretest Score Test for Adding a Covariate to a GLM
1.StatMod Introduction to the StatMod Package
remlscore REML for Heteroscedastic Regression
remlscoregamma Approximate REML for gamma regression with structured dispersion
gauss.quad.prob Gaussian Quadrature with Probability Distributions
Digamma Digamma generalized linear model family
matvec Multiply a Matrix by a Vector
fitNBP Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
plot.limdil Plot or print an object of class limdil
tweedie Tweedie Generalized Linear Models
permp Exact permutation p-values
meanT Mean t-Statistic Between Two Groups of Growth Curves
mscale M Scale Estimation
welding Data: Tensile Strength of Welds
sage.test Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
hommel.test Test Multiple Comparisons Using Hommel's Method
invgauss Inverse Gaussian Distribution
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Details

Date 2014/04/13
License GPL (>= 2)
Packaged 2014-04-13 06:04:12 UTC; smyth
NeedsCompilation yes
Repository CRAN
Date/Publication 2014-04-13 20:04:37

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