statmod v1.4.26

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by Gordon Smyth

Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

Functions in statmod

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

Date 2016-08-28
License GPL-2 | GPL-3
NeedsCompilation yes
Packaged 2016-08-28 09:47:11 UTC; smyth
Repository CRAN
Date/Publication 2016-08-28 15:20:44

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