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
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:

Reference manual:

CARME.pdf

Downloads:

Package source:	CARME_0.1.1.tar.gz
Windows binaries:	r-devel: CARME_0.1.1.zip, r-release: CARME_0.1.1.zip, r-oldrel: CARME_0.1.1.zip
macOS binaries:	r-release (arm64): CARME_0.1.1.tgz, r-oldrel (arm64): CARME_0.1.1.tgz, r-release (x86_64): CARME_0.1.1.tgz, r-oldrel (x86_64): CARME_0.1.1.tgz
Old sources:	CARME archive

Linking:

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