CARME: CAR-MM Modelling in Stan
'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>.
| Version: | 0.1.1 |
| 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) |
| Published: | 2023-03-25 |
| DOI: | 10.32614/CRAN.package.CARME |
| Author: | Marco Gramatica [aut, cre], Silvia Liverani [aut], Peter Congdon [aut] |
| Maintainer: | Marco Gramatica <gramaticamarco at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README |
| CRAN checks: | CARME results |
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