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 (2022) <doi:10.48550/arXiv.2208.06738>, 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 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), MASS, expm, stats |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Published: |
2023-01-09 |
| 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 |
| CRAN checks: |
CARME results |
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