Contemporaneous Markov Chain Monte Carlo R package CMCMC version 0.0.1 Implements contemporaneous Markov chain Monte Carlo (CMCMC) and interchain adaptive Markov chain Monte Carlo (INCA) samplers of Craiu, Rosenthal and Yang (2009) <doi:10.1198/jasa.2009.tm08393> for targets known up to a normalising constant. The samplers run multiple Metropolis chains in parallel and update proposal covariance estimates using contemporaneous particle groups. Built-in target kernels include multivariate normal, logistic regression, Poisson, Gaussian, Gamma, and hierarchical models, with support for user-provided target kernels. The formula interface glm_cmcmc() fits supported generalized linear models using the built-in kernels. 'CUDA' is used when available, and an 'OpenMP'-enabled CPU backend is available on systems without a 'CUDA' compiler. Software Depends: R (>= 4.0.0) Suggests: knitr, rmarkdown Ahmad ALQabandi <ahmad.alqabandi@durham.ac.uk> Comprehensive R Archive Network (CRAN) Ahmad ALQabandi [cre, aut, cph] (ORCID: <https://orcid.org/0009-0006-0055-3846>), Louis Aslett [aut, ths, cph] (ORCID: <https://orcid.org/0000-0003-2211-233X>), Murray Pollock [aut], Gareth Roberts [aut] GPL-2 GPL-3 2026-07-23 application/tgz https://CRAN.R-project.org/package=CMCMC doi:10.32614/CRAN.package.CMCMC