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aods3

Analysis of Overdispersed Data using S3 Methods

Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4 package aod.

Functions (21)

Antibiotics against Shipping Fever in Calves

Analysis of Overdispersed Data

ML Estimation of Generalized Linear Models for Overdispersed Count Data

QL/MM Estimation of Generalized Linear Models for Overdispersed Count Data

Age, Period and Cohort Effects for Vital Rates

dja

Mortality of Djallonke Lambs in Senegal

drs

Test of Proportion Homogeneity between Groups using Donner's and Rao-Scott's Adjustments

gof

Test of Goodness-of-Fit of Models for Count data

Intra-Cluster Correlation for Clustered Binomial data

Transformation from the Link Scale to the Observation Scale

link

Transformation from the Observation Scale to the Link Scale

A Comparison of Site Preferences of Two Species of Lizard

mice

Pregnant Female Mice Experiment

Germination Data

Germination Data

Rabbits Foetuses Survival Experiment

rats

Rats Diet Experiment

Salmonella Reverse Mutagenicity Assay

Split Grouped Data Into Individual Data

Estimate of a Probability from Clustered Binomial Data

Wald Test for Model Coefficients

aods3

Analysis of Overdispersed Data using S3 Methods

v0.4-1.1

GPL (>= 2)

Authors

Matthieu Lesnoff <matthieu.lesnoff@cirad.fr> and Renaud Lancelot <renaud.lancelot@cirad.fr>

Initial release

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