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) , 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 Roxygen: list(markdown = TRUE) 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 Repository: https://yuzh98.r-universe.dev Date/Publication: 2026-08-14 10:48:59 UTC RemoteUrl: https://github.com/yuzh98/combreg RemoteRef: HEAD RemoteSha: 1a400d3145e9de5aa6d0f5a4ba3821783e5d9276 NeedsCompilation: yes Packaged: 2026-10-13 10:49:37 UTC; root Author: Hugh Zheng [aut, cre, cph] Maintainer: Hugh Zheng