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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