Package: aod 1.3.3

Renaud Lancelot

aod: Analysis of Overdispersed Data

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).

Authors:Matthieu Lesnoff <[email protected]> and Renaud Lancelot <[email protected]>

aod_1.3.3.tar.gz
aod_1.3.3.tar.gz(r-4.5-noble)aod_1.3.3.tar.gz(r-4.4-noble)
aod_1.3.3.tgz(r-4.4-emscripten)aod_1.3.3.tgz(r-4.3-emscripten)
aod.pdf |aod.html
aod/json (API)
NEWS

# Install 'aod' in R:
install.packages('aod', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • antibio - Antibiotics against Shipping Fever in Calves
  • cohorts - 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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7.03 score 3 stars 14 packages 980 scripts 8.7k downloads 45 mentions 24 exports 0 dependencies

Last updated 11 months agofrom:f82d92ef6c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-linuxOKOct 09 2024

Exports:AICanovabetabincoefdeviancedf.residualdonnerfittediccbininvlinklinklogLiknegbinpredictprint.wald.testquasibinquasipoisraoscottresidualssplitbinsummaryvarbinvcovwald.test

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Representation of Objects of Formal Class "aic"aic-class
Akaike Information CriteriaAIC,glimML-method
Likelihood-Ratio Tests for Nested ML Modelsanova,glimML-method anova.glimML-class show,anova.glimML-method
Antibiotics against Shipping Fever in Calvesantibio
Analysis of Overdispersed Dataaod aod-pkg
Beta-Binomial Model for Proportionsbetabin
Methods for Function "coef" in Package "aod"coef,glimML-method coef,glimQL-method
Age, Period and Cohort Effects for Vital Ratescohorts
Methods for Function "deviance" in Package "aod"deviance,glimML-method
Methods for Function "df.residual" in Package "aod"df.residual,glimML-method df.residual,glimQL-method
Mortality of Djallonke Lambs in Senegaldja
Test of Proportion Homogeneity using Donner's Adjustmentdonner show,donner-class
Representation of Objects of Formal Class "drs"drs-class show,drs-method
Methods for Function "fitted" in Package "aod"fitted,glimML-method fitted,glimQL-method
Representation of Models of Formal Class "glimML"glimML-class show,glimML-method
Representation of Models of Formal Class "glimQL"glimQL-class show,glimQL-method
Intra-Cluster Correlation for Binomial Dataiccbin show,iccbin-method
Representation of Objects of Formal Class "iccbin"iccbin-class
Transformation from the Link Scale to the Observation Scaleinvlink
Transformation from the Observation Scale to the Link Scalelink
A Comparison of Site Preferences of Two Species of Lizardlizards
Methods for Functions "logLik" in Package "aod"logLik,glimML-method
Pregnant Female Mice Experimentmice
Negative-Binomial Model for Countsnegbin
Germination Dataorob1
Germination Dataorob2
Methods for Function "predict" in Package "aod"predict,glimML-method predict,glimQL-method predict-methods
Quasi-Likelihood Model for Proportionsquasibin
Quasi-Likelihood Model for Countsquasipois
Rabbits Foetuses Survival Experimentrabbits
Test of Proportion Homogeneity using Rao and Scott's Adjustmentraoscott show,raoscott-class
Rats Diet Experimentrats
Residuals for Maximum-Likelihood and Quasi-Likelihood Modelsresiduals,glimML-method residuals,glimQL-method
Salmonella Reverse Mutagenicity Assaysalmonella
Split Grouped Data Into Individual Datasplitbin
Akaike Information Statisticsshow,aic-method summary,aic-method
Summary of Objects of Class "summary.glimML"show,glimML-class show,summary.glimML-method summary,glimML-method summary.glimML-class
Mean, Variance and Confidence Interval of a Proportionshow,varbin-class varbin
Representation of Objects of Formal Class "varbin"show,varbin-method varbin-class
Methods for Function "vcov" in Package "aod"geeglm-class geese-class vcov,geeglm-method vcov,geese-method vcov,glimML-method vcov,glimQL-method
Wald Test for Model Coefficientsprint.wald.test wald.test