countSTAR
1.2.0Flexible Modeling of Count Data
Overview
For Bayesian and classical inference and prediction with count-valued data, Simultaneous Transformation and Rounding (STAR) Models provide a flexible, interpretable, and easy-to-use approach. STAR models the observed count data using a rounded continuous data model and incorporates a transformation for greater flexibility. Implicitly, STAR formalizes the commonly-applied yet incoherent procedure of (i) transforming count-valued data and subsequently (ii) modeling the transformed data using Gaussian models. STAR is well-defined for count-valued data, which is reflected in predictive accuracy, and is designed to account for zero-inflation, bounded or censored data, and over- or underdispersion. Importantly, STAR is easy to combine with existing MCMC or point estimation methods for continuous data, which allows seamless adaptation of continuous data models (such as linear regressions, additive models, BART, random forests, and gradient boosting machines) for count-valued data. The package also includes several methods for modeling count time series data, namely via warped Dynamic Linear Models. For more details and background on these methodologies, see the works of Kowal and Canale (2020) doi:10.1214/20-EJS1707, Kowal and Wu (2022) doi:10.1111/biom.13617, King and Kowal (2023) doi:10.1214/23-BA1394, and Kowal and Wu (2023) doi:10.48550/arXiv.2110.12316.
Install
Health
- ERROR r-devel-linux-x86_64-debian-clang
- ERROR r-devel-linux-x86_64-debian-gcc
- ERROR r-devel-linux-x86_64-fedora-clang
- ERROR r-devel-linux-x86_64-fedora-gcc
- ERROR r-devel-windows-x86_64
- ERROR r-release-macos-x86_64
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-0814 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 83%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 6%
Downloads
Repository
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Issues over time
Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/bking124/countstar on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.22023-06-30 · diff ↗
- unarchivedReturned to CRAN2023-06-30
- archivedRemoved from CRAN2023-05-31issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- 1.0.12023-04-10
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-04-10
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.5 KB / 1 file
- Download size
- 159 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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