aod1.3.3 package

Analysis of Overdispersed Data

Representation of Objects of Formal Class "aic"

Akaike Information Criteria

Likelihood-Ratio Tests for Nested ML Models

Analysis of Overdispersed Data

Beta-Binomial Model for Proportions

Methods for Function "coef" in Package "aod"

Methods for Function "deviance" in Package "aod"

Methods for Function "df.residual" in Package "aod"

Test of Proportion Homogeneity using Donner's Adjustment

Representation of Objects of Formal Class "drs"

Methods for Function "fitted" in Package "aod"

Representation of Models of Formal Class "glimML"

Representation of Models of Formal Class "glimQL"

Representation of Objects of Formal Class "iccbin"

Intra-Cluster Correlation for Binomial Data

Transformation from the Link Scale to the Observation Scale

Transformation from the Observation Scale to the Link Scale

Methods for Functions "logLik" in Package "aod"

Negative-Binomial Model for Counts

Methods for Function "predict" in Package "aod"

Quasi-Likelihood Model for Proportions

Quasi-Likelihood Model for Counts

Test of Proportion Homogeneity using Rao and Scott's Adjustment

Residuals for Maximum-Likelihood and Quasi-Likelihood Models

Split Grouped Data Into Individual Data

Akaike Information Statistics

Summary of Objects of Class "summary.glimML"

Representation of Objects of Formal Class "varbin"

Mean, Variance and Confidence Interval of a Proportion

Methods for Function "vcov" in Package "aod"

Wald Test for Model Coefficients

Provides a set of functions to analyse overdispersed counts or proportions. Most of the methods are already available elsewhere but are scattered in different packages. The proposed functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM).

Maintainer: Renaud Lancelot License: GPL (>= 2) Last published: 2023-12-13