The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Please use the canonical form https://CRAN.R-project.org/package=hmmTMB to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.