R-fitODBOD

Spec sheet

Purpose

fitODBOD models binomial outcome data using binomial mixture and alternate binomial distributions.Read 12 Oct 2026 · amalan-constat.github.io

Free plan

YesRead 23 Sep 2026 · amalan-constat.github.io

Support

The maker links to a GitHub issues page for reporting bugs.Read 12 Oct 2026 · amalan-constat.github.io

License

The package is listed under the GPL-2 license.Read 12 Oct 2026 · amalan-constat.github.io

Data preparation

The BODextract function can prepare raw binomial outcome data in the frequency format used in the examples.Read 12 Oct 2026 · amalan-constat.github.io

Dependencies

The beta-binomial example uses mle2 from the bbmle package for maximum-likelihood estimation.Read 12 Oct 2026 · amalan-constat.github.io

Distribution families

The package lists six alternate binomial distributions and eight binomial mixture distributions.Read 12 Oct 2026 · amalan-constat.github.io

Estimation

The package documentation describes maximum likelihood and method of moments approaches for estimating distribution parameters.Read 12 Oct 2026 · amalan-constat.github.io

Example data

The site demonstrates the workflow with alcohol consumption data from 399 respondents in the Netherlands in 1983.Read 12 Oct 2026 · amalan-constat.github.io

Example dataset

The modeling example uses alcohol-consumption data from 399 respondents in the Netherlands in 1983.Read 12 Oct 2026 · amalan-constat.github.io

Input format

The modeling walkthrough says its later steps can be applied when the dataset is in frequency-table form.Read 12 Oct 2026 · amalan-constat.github.io

Installation

The maker’s site gives installation instructions for both GitHub and CRAN.Read 12 Oct 2026 · amalan-constat.github.io

Maintainers

The project page names Amalan Mahendran as author and maintainer and Pushpakanthie Wijekoon as author and contributor.Read 12 Oct 2026 · amalan-constat.github.io

Model fitting

Fitting functions can report expected frequencies, chi-squared statistics, p-values, and degrees of freedom for assessing fit.Read 12 Oct 2026 · amalan-constat.github.io

Model selection

The documentation recommends comparing p-values, negative log likelihood, AIC, frequency differences, and variance differences when selecting a fit.Read 12 Oct 2026 · amalan-constat.github.io

Modeling criteria

Its example compares candidate distributions using p-values, negative log-likelihood, AIC, observed and expected frequency differences, and variance differences.Read 12 Oct 2026 · amalan-constat.github.io

Notable limit

The example says steps 2 through 5 can be applied only when the dataset is in frequency-table form.Read 12 Oct 2026 · amalan-constat.github.io

Overdispersion

The package describes binomial mixture distributions as useful for fitting overdispersed binomial outcome data.Read 12 Oct 2026 · amalan-constat.github.io

R Shiny application

The maker says fitODBODRshiny is available to fit selected binomial outcome data using binomial mixture and alternate binomial distributions.Read 12 Oct 2026 · amalan-constat.github.io

Scripting support

YesRead 23 Sep 2026 · amalan-constat.github.io

Where Specifiction places it

• Statistical Analysis Software#105 of 1066.5