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: 1.1.0 Depends: R6, mgcv, TMB, ggplot2 Imports: Matrix, stringr, MASS, tmbstan, methods LinkingTo: TMB, RcppEigen Suggests: rstan, testthat, knitr, rmarkdown, moveHMM, scico, MSwM, unmarked Published: 2025-06-24 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 Citation: hmmTMB citation info Materials: README, NEWS CRAN checks: hmmTMB results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hmmTMB to link to this page.
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