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:	1.1.0
Depends:	R (≥ 4.5.0), rstan
Imports:	methods, Rcpp, TMB
LinkingTo:	StanHeaders, rstan, BH, Rcpp, RcppEigen, TMB, RcppParallel
Suggests:	RTMB
Published:	2026-03-20
DOI:	10.32614/CRAN.package.tmbstan
Author:	Kasper Kristensen [aut, cre]
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_1.1.0.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:

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