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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=CARME
to link to this page.