Package: hmmTMB 1.0.2

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) <arxiv:2211.14139>.

Authors:Theo Michelot [aut, cre], Richard Glennie [aut, ctb]

hmmTMB_1.0.2.tar.gz
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hmmTMB.pdf |hmmTMB.html✨
hmmTMB/json (API)

# Install 'hmmTMB' in R:
install.packages('hmmTMB', repos = c('https://theomichelot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/theomichelot/hmmtmb/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

6.57 score 53 stars 64 scripts 252 downloads 15 exports 58 dependencies

Last updated 27 days agofrom:0dd59e30b9. Checks:1 ERROR, 1 FAILURE, 9 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILFeb 13 2025
R-4.5-win-x86_64WARNINGFeb 13 2025
R-4.5-mac-x86_64WARNINGFeb 13 2025
R-4.5-mac-aarch64OUTDATEDFeb 10 2025
R-4.5-linux-x86_64WARNINGFeb 13 2025
R-4.4-win-x86_64WARNINGFeb 13 2025
R-4.4-mac-x86_64WARNINGFeb 13 2025
R-4.4-mac-aarch64WARNINGFeb 13 2025
R-4.3-win-x86_64WARNINGFeb 13 2025
R-4.3-mac-x86_64WARNINGFeb 13 2025
R-4.3-mac-aarch64WARNINGFeb 13 2025

Exports:as_character_formulaDistHMMinvmlogitis_whole_numberlogsumexpmake_formulasMarkovChainmlogitmvnorm_invlinkmvnorm_linkObservationprec_to_covquad_pos_solvestrip_comments

Dependencies:abindbackportsBHbootcallrcheckmateCircStatsclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeadersstringistringrtensorAtibbleTMBtmbstanutf8vctrsviridisLitewithr