Package: combreg
Type: Package
Title: Bayesian Regression for Combinatorial Response Data
Version: 0.2.0
Authors@R: person("Hugh", "Zheng", email = "hugh.stats@gmail.com",
    role = c("aut", "cre", "cph"))
Description: 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.
Depends: R (>= 4.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: Rcpp, coda, grDevices, graphics, stats, truncnorm, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: lpSolve, posterior, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/YuZh98/combreg
BugReports: https://github.com/YuZh98/combreg/issues
NeedsCompilation: yes
Packaged: 2026-07-20 20:36:13 UTC; zhengyu
Author: Hugh Zheng [aut, cre, cph]
Maintainer: Hugh Zheng <hugh.stats@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-29 18:40:07 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-07-29 21:26:24 UTC; unix
Archs: combreg.so.dSYM
