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:
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')) |
- 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.
Last updated 1 years agofrom:f82d92ef6c. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | OK | Dec 08 2024 |
Exports:AICanovabetabincoefdeviancedf.residualdonnerfittediccbininvlinklinklogLiknegbinpredictprint.wald.testquasibinquasipoisraoscottresidualssplitbinsummaryvarbinvcovwald.test
Dependencies:
