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aods3 (version 0.4-1.2)

Analysis of Overdispersed Data using S3 Methods

Description

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.

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Version

Install

install.packages('aods3')

Monthly Downloads

1,094

Version

0.4-1.2

License

GPL (>= 2)

Maintainer

Last Published

July 8th, 2022

Functions in aods3 (0.4-1.2)

iccbin

Intra-Cluster Correlation for Clustered Binomial 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
orob2

Germination Data
rabbits

Rabbits Foetuses Survival Experiment
rats

Rats Diet Experiment
wald.test

Wald Test for Model Coefficients
salmonella

Salmonella Reverse Mutagenicity Assay
cohorts

Age, Period and Cohort Effects for Vital Rates
orob1

Germination Data
mice

Pregnant Female Mice Experiment
dja

Mortality of Djallonke Lambs in Senegal
aods3-pkg

Analysis of Overdispersed Data
antibio

Antibiotics against Shipping Fever in Calves
aodql

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

Transformation from the Observation Scale to the Link Scale
aodml

ML Estimation of Generalized Linear Models for Overdispersed Count Data
splitbin

Split Grouped Data Into Individual Data
varbin

Estimate of a Probability from Clustered Binomial Data
lizards

A Comparison of Site Preferences of Two Species of Lizard
invlink

Transformation from the Link Scale to the Observation Scale