paul-buerkner/brms

Discrete Burr Type XII distribution

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#1,689 opened on Sep 20, 2024

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Description

The discrete Burr Type XII distribution is a count data distribution that may have good potential to handle underdispersed data. It is discussed in Link and also implemented in gamlss although with a slightly different (better?) parameterization. Could be nice to have this distribution as a family in brms. Thanks to Robert Grant for the recommendation.

Contributor guide

Tech stack
r
Domain
datamachine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
R programmingStanBayesian statisticsbrms package structure
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Study the discrete Burr Type XII distribution from the referenced paper and the gamlss implementation. Review existing discrete distribution families in brms (e.g., negative binomial, Poisson) for template structure. Implement the family in R and Stan, following the brms family convention. Test the implementation with example data.