CAR-MM Modelling in Stan R package CARME version 0.1.1 'Stan' based functions to estimate CAR-MM models. These models allow to estimate Generalised Linear Models with CAR (conditional autoregressive) spatial random effects for spatially and temporally misaligned data, provided a suitable Multiple Membership matrix. The main references are Gramatica, Liverani and Congdon (2023) <doi:10.1214/23-BA1370>, Petrof, Neyens, Nuyts, Nackaerts, Nemery and Faes (2020) <doi:10.1002/sim.8697> and Gramatica, Congdon and Liverani <doi:10.1111/rssc.12480>. Software Depends: R (>= 3.5.0) Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), MASS, expm, stats, rstantools LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0), RcppParallel (>= 5.0.1) Marco Gramatica <gramaticamarco@gmail.com> Comprehensive R Archive Network (CRAN) Marco Gramatica [aut, cre] (ORCID: <https://orcid.org/0000-0002-6374-0933>), Silvia Liverani [aut] (ORCID: <https://orcid.org/0000-0002-1870-3017>), Peter Congdon [aut] (ORCID: <https://orcid.org/0000-0003-1934-9205>) GPL (>= 3) 2023-03-25 application/tgz https://CRAN.R-project.org/package=CARME doi:10.32614/CRAN.package.CARME