combreg - Bayesian Regression for Combinatorial Response Data
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:10.1080/01621459.2026.2714575>, 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.
