Statistical Modeling
Digamma Generalized Linear Model Family
Extreme Limiting Dilution Analysis
Expected Value of Scaled Unit Deviance for Linear Exponential Families
Negative Binomial Model for SAGE Libraries with Pearson Estimation of ...
Forward Selection of Covariates for Multiple Regression
Gaussian Quadrature with Probability Distributions
Gaussian Quadrature
Fit Gamma Generalized Linear Model by Fisher Scoring with Identity Lin...
Fit Negative Binomial Generalized Linear Model with Log-Link
Score Test for Adding a Covariate to a GLM
Compare Groups of Growth Curves
Test Multiple Comparisons Using Hommel's Method
Inverse Gaussian Distribution
Log Minus Digamma Function
Multiply a Matrix by a Vector
Mean t-Statistic Between Two Groups of Growth Curves
Fit Mixed Linear Model with 2 Error Components
M Scale Estimation
Exact permutation p-values
Plot or print an object of class limdil
Power of Fisher's Exact Test for Comparing Proportions
Randomized Quantile Residuals
REML for Heteroscedastic Regression
Approximate REML for Gamma Regression with Structured Dispersion
Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
Introduction to the StatMod Package
Tweedie Generalized Linear Models
A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.