Bayesian regression whose response data are integer-valued vectors subject to combinatorial constraints in the form of Ay<=b. Implements the Metropolis-Hastings-within-Gibbs sampler of Zheng et al. (2026+) <doi:10.48550/arXiv.2504.11630>, an unconstrained probit baseline for comparison, benchmarking helpers, MCMC and regression diagnostics (effective sample sizes, split-Rhat, structured reports), plotting methods (trace, autocorrelation, violin, effective-sample-size, sampling-efficiency, residual heat map), and utilities for constraint validation (total unimodularity, feasibility) and data simulation.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp, coda, grDevices, graphics, stats, truncnorm, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | lpSolve, posterior, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-07-29 |
| DOI: | 10.32614/CRAN.package.combreg (may not be active yet) |
| Author: | Hugh Zheng [aut, cre, cph] |
| Maintainer: | Hugh Zheng <hugh.stats at gmail.com> |
| BugReports: | https://github.com/YuZh98/combreg/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/YuZh98/combreg |
| NeedsCompilation: | yes |
| Citation: | combreg citation info |
| Materials: | README, NEWS |
| CRAN checks: | combreg results |
| Reference manual: | combreg.html , combreg.pdf |
| Vignettes: |
Introduction to combreg (source, R code) Diagnostics and benchmarking (source, R code) |
| Package source: | combreg_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: combreg_0.2.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): combreg_0.2.0.tgz, r-oldrel (arm64): combreg_0.2.0.tgz, r-release (x86_64): combreg_0.2.0.tgz, r-oldrel (x86_64): combreg_0.2.0.tgz |
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