statmod v1.4.24


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


Date 2016-02-01
License GPL-2 | GPL-3
NeedsCompilation yes
Packaged 2016-02-02 06:14:35 UTC; smyth
Repository CRAN
Date/Publication 2016-02-02 12:30:14

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