Package: aods3 0.5

aods3: Analysis of Overdispersed Data using S3 Methods

Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4 package aod.

Authors:Matthieu Lesnoff [aut], Renaud Lancelot [aut], Aurélie Siberchicot [ctb, cre]

aods3_0.5.tar.gz
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aods3_0.5.tgz(r-4.5-any)aods3_0.5.tgz(r-4.4-any)aods3_0.5.tgz(r-4.3-any)
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aods3.pdf |aods3.html✨
aods3/json (API)
NEWS

# Install 'aods3' in R:
install.packages('aods3', repos = c('https://aursiber.r-universe.dev', 'https://cloud.r-project.org'))
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

On CRAN:

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

2.90 score 1 packages 38 scripts 874 downloads 7 mentions 41 exports 0 dependencies

Last updated 4 months agofrom:4e40db9fa0. Checks:5 OK, 3 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-winWARNINGFeb 05 2025
R-4.5-macOKFeb 05 2025
R-4.5-linuxOKFeb 05 2025
R-4.4-winWARNINGFeb 05 2025
R-4.4-macOKFeb 05 2025
R-4.3-winWARNINGFeb 05 2025
R-4.3-macOKFeb 05 2025

Exports:AIC.aodmlanova.aodmlanova.aodqlaodmlaodqlcoef.aodmlcoef.aodqldeviance.aodmldeviance.aodqldf.residual.aodmldf.residual.aodqldrsfitted.aodmlfitted.aodqlgofgof.defaulticcbininvlinklinklogLik.aodmllogLik.aodqlpredict.aodmlpredict.aodqlprint.anova.aodmlprint.aodmlprint.aodqlprint.drsprint.gofprint.iccbinprint.summary.aodmlprint.varbinprint.wald.testresiduals.aodmlresiduals.aodqlsplitbinsummary.aodmlsummary.aodqlvarbinvcov.aodmlvcov.aodqlwald.test

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Antibiotics against Shipping Fever in Calvesantibio
ML Estimation of Generalized Linear Models for Overdispersed Count DataAIC.aodml anova.aodml aodml coef.aodml deviance.aodml df.residual.aodml fitted.aodml logLik.aodml predict.aodml print.anova.aodml print.aodml print.summary.aodml residuals.aodml summary.aodml vcov.aodml
QL/MM Estimation of Generalized Linear Models for Overdispersed Count Dataanova.aodql aodql coef.aodql deviance.aodql df.residual.aodql fitted.aodql logLik.aodql predict.aodql print.aodql residuals.aodql summary.aodql vcov.aodql
Analysis of Overdispersed Dataaods3 aods3-pkg
Age, Period and Cohort Effects for Vital Ratescohorts
Mortality of Djallonke Lambs in Senegaldja
Test of Proportion Homogeneity between Groups using Donner's and Rao-Scott's Adjustmentsdrs print.drs
Test of Goodness-of-Fit of Models for Count datagof gof.default print.gof
Intra-Cluster Correlation for Clustered Binomial dataiccbin print.iccbin
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
Pregnant Female Mice Experimentmice
Germination Dataorob1
Germination Dataorob2
Rabbits Foetuses Survival Experimentrabbits
Rats Diet Experimentrats
Salmonella Reverse Mutagenicity Assaysalmonella
Split Grouped Data Into Individual Datasplitbin
Estimate of a Probability from Clustered Binomial Dataprint.varbin varbin
Wald Test for Model Coefficientsprint.wald.test wald.test