hmmTMB: Fit Hidden Markov Models using Template Model Builder

Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2022) <doi:10.48550/arXiv.2211.14139>.

Version:	1.0.2
Depends:	R6, mgcv, TMB, ggplot2
Imports:	Matrix, stringr, optimx, CircStats, MASS, tmbstan, methods
LinkingTo:	TMB, RcppEigen
Suggests:	rstan, testthat, knitr, moveHMM, scico, MSwM, unmarked
Published:	2023-10-24
DOI:	10.32614/CRAN.package.hmmTMB
Author:	Theo Michelot [aut, cre], Richard Glennie [aut, ctb]
Maintainer:	Theo Michelot <theo.michelot at dal.ca>
License:	GPL-3
URL:	https://github.com/TheoMichelot/hmmTMB
NeedsCompilation:	yes
Materials:	README
CRAN checks:	hmmTMB results

Documentation:

Reference manual:	hmmTMB.pdf
Vignettes:	Online resources for hmmTMB

Downloads:

Package source:	hmmTMB_1.0.2.tar.gz
Windows binaries:	r-devel: hmmTMB_1.0.2.zip, r-release: hmmTMB_1.0.2.zip, r-oldrel: hmmTMB_1.0.2.zip
macOS binaries:	r-release (arm64): hmmTMB_1.0.2.tgz, r-oldrel (arm64): hmmTMB_1.0.2.tgz, r-release (x86_64): hmmTMB_1.0.2.tgz, r-oldrel (x86_64): hmmTMB_1.0.2.tgz
Old sources:	hmmTMB archive

Linking:

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