aod-pkg: Analysis of Overdispersed Data

In aods3: Analysis of Overdispersed Data using S3 Methods

Analysis of Overdispersed Data

Description

This package provides functions to analyse overdispersed counts or proportions. The functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM).

Details

Functions Index :

aodml	ML Estimation of Generalized Linear Models for Overdispersed Count Data
aodql	QL/MM Estimation of Generalized Linear Models for Overdispersed Count Data
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
iccbin	Intra-Cluster Correlation for Clustered Binomial data
invlink	Transformation from the Link Scale to the Observation Scale
link	Transformation from the Observation Scale to the Link Scale
splitbin	Split Grouped Data Into Individual Data
varbin	Estimate of a Probability from Clustered Binomial Data
wald.test	Wald Test for Model Coefficients

Data sets Index :

antibio	Antibiotics against Shipping Fever in Calves
cohorts	Data set: Age, Period and Cohort Effects for Vital Rates
dja	Mortality of Djallonke Lambs in Senegal
lizards	A Comparison of Site Preferences of Two Species of Lizard
mice	Pregnant Female Mice Experiment
orob1	Germination Data
orob2	Germination Data
rabbits	Rabbits Foetuses Survival Experiment
rats	Rats Diet Experiment
salmonella	Salmonella Reverse Mutagenicity Assay

Author(s)

Matthieu Lesnoff <[e-mail]> and Renaud Lancelot <[e-mail]>
Maintainer: Renaud Lancelot <[e-mail]>

aods3 documentation built on July 8, 2022, 5:06 p.m.