Analysis of Overdispersed Data
This package 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).
| Package: | aod |
| Version: | 1.1-32 |
| Date: | 2010-04-02 |
| Depends: | R (>= 2.0.0), methods, stats |
| Suggests: | MASS, nlme, boot |
| License: | GPL version 2 or newer |
| URL: | http://cran.r-project.org/package=aod |
| LazyLoad: | yes |
| LazyData: | yes |
Index :
| AIC-methods | Akaike Information Criteria |
| aic-class | Representation of Objects of Formal Class “aic” |
| anova-method | Likelihood-Ratio Tests for Nested ML Models |
| antibio | Antibiotics against Shipping Fever in Calves |
| betabin | Beta-Binomial Model for Proportions |
| coef-methods | Methods for Function “coef” in Package aod |
| cohorts | Data set: Age, Period and Cohort Effects for Vital Rates |
| deviance-methods | Methods for Function deviance in Package aod
|
| df.residual-methods | Methods for Function df.residual in Package aod
|
| dja | Mortality of Djallonke Lambs in Senegal |
| donner | Test of Proportion Homogeneity using Donner's Adjustment |
| drs-class | Representation of Objects of Formal Class “drs” |
| fitted-methods | Methods for Function fitted in Package aod
|
| glimML-class | Representation of Models of Formal Class “glimML” |
| glimQL-class | Representation of Models of Formal Class “glimQL” |
| icc | Intra-Cluster Correlation |
| icc-class | Representation of Objects of Formal Class “icc” |
| invlink | Transformation from the Link Scale to the Observation Scale |
| link | Transformation from the Observation Scale to the Link Scale |
| lizards | A Comparison of Site Preferences of Two Species of Lizard |
| logLik-methods | Methods for Functions “logLik” in Package aod |
| mice | Pregnant Female Mice Experiment |
| negbin | Negative-Binomial Model for Counts |
| orob1 | Germination Data |
| orob2 | Germination Data |
| predict-methods | Methods for Function “predict” in Package aod |
| quasibin | Quasi-Likelihood Model for Proportions |
| quasipois | Quasi-Likelihood Model for Counts |
| rabbits | Rabbits Foetuses Survival Experiment |
| raoscott | Test of Proportion Homogeneity using Rao and Scott's Adjustment |
| rats | Rats Diet Experiment |
| residuals-methods | Residuals for Maximum-Likelihood and Quasi-Likelihood Models |
| salmonella | Salmonella Reverse Mutagenicity Assay |
| splitbin | Splits Binomial Data into Bernoulli Data |
| summary,aic-method | Akaike Information Statistics |
| summary.glimML-class | Summary of Objects of Class “summary.glimML” |
| varbin | Mean, Variance and Confidence Interval of a Proportion |
| varbin-class | Representation of Objects of Formal Class “varbin” |
| vcov-methods | Methods for Function “vcov” in Package aod |
| wald.test | Wald Test for Model Coefficients |
Matthieu Lesnoff <matthieu.lesnoff@cirad.fr> and Renaud Lancelot <renaud.lancelot@cirad.fr>
Maintainer: Renaud Lancelot
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