statmod v1.4.29


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


Date 2017-02-27
License GPL-2 | GPL-3
NeedsCompilation yes
Packaged 2017-02-27 04:56:19 UTC; smyth
Repository CRAN
Date/Publication 2017-02-27 08:15:40

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