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).