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_1.0.2.tgz(r-4.4-x86_64)hmmTMB_1.0.2.tgz(r-4.4-arm64)hmmTMB_1.0.2.tgz(r-4.3-x86_64)hmmTMB_1.0.2.tgz(r-4.3-arm64)
hmmTMB_1.0.2.tar.gz(r-4.5-noble)hmmTMB_1.0.2.tar.gz(r-4.4-noble)
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'))

Peer review:

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

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

On CRAN:

6.41 score 53 stars 61 scripts 210 downloads 15 exports 58 dependencies

Last updated 5 days agofrom:62e01f3b33. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 14 2024
R-4.5-win-x86_64WARNINGNov 14 2024
R-4.5-linux-x86_64WARNINGNov 14 2024
R-4.4-win-x86_64WARNINGNov 14 2024
R-4.4-mac-x86_64WARNINGNov 14 2024
R-4.4-mac-aarch64WARNINGNov 14 2024
R-4.3-win-x86_64WARNINGNov 14 2024
R-4.3-mac-x86_64WARNINGNov 14 2024
R-4.3-mac-aarch64WARNINGNov 14 2024

Exports:as_character_formulaDistHMMinvmlogitis_whole_numberlogsumexpmake_formulasMarkovChainmlogitmvnorm_invlinkmvnorm_linkObservationprec_to_covquad_pos_solvestrip_comments

Dependencies:abindbackportsBHbootcallrcheckmateCircStatsclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeadersstringistringrtensorAtibbleTMBtmbstanutf8vctrsviridisLitewithr