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tmbstan: MCMC Sampling from 'TMB' Model Object using 'Stan'

Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <doi:10.1371/journal.pone.0197954>.

Version:1.0.91
Depends:rstan
Imports:methods,Rcpp,TMB
LinkingTo:StanHeaders,rstan,BH,Rcpp,RcppEigen,TMB,RcppParallel
Published:2023-08-26
DOI:10.32614/CRAN.package.tmbstan
Author:Kasper Kristensen
Maintainer:Kasper Kristensen <kaskr at dtu.dk>
BugReports:https://github.com/kaskr/tmbstan/issues
License:GPL (≥ 3)
NeedsCompilation:yes
SystemRequirements:GNU make
Citation:tmbstan citation info
Materials:NEWS
In views:MixedModels
CRAN checks:tmbstan results

Documentation:

Reference manual:tmbstan.html ,tmbstan.pdf

Downloads:

Package source: tmbstan_1.0.91.tar.gz
Windows binaries: r-devel:tmbstan_1.0.91.zip, r-release:tmbstan_1.0.91.zip, r-oldrel:tmbstan_1.0.91.zip
macOS binaries: r-release (arm64):tmbstan_1.0.91.tgz, r-oldrel (arm64):tmbstan_1.0.91.tgz, r-release (x86_64):tmbstan_1.0.91.tgz, r-oldrel (x86_64):tmbstan_1.0.91.tgz
Old sources: tmbstan archive

Reverse dependencies:

Reverse imports:BayesGP,hmmTMB
Reverse suggests:salmonMSE,SAMtool
Reverse enhances:dsem

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tmbstanto link to this page.


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