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:

6.46 score 52 stars 61 scripts 200 downloads 15 exports 58 dependencies

Last updated 5 months agofrom:6bf85f52a3. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 28 2024
R-4.5-win-x86_64WARNINGOct 28 2024
R-4.5-linux-x86_64WARNINGOct 28 2024
R-4.4-win-x86_64WARNINGOct 28 2024
R-4.4-mac-x86_64WARNINGOct 28 2024
R-4.4-mac-aarch64WARNINGOct 28 2024
R-4.3-win-x86_64WARNINGOct 28 2024
R-4.3-mac-x86_64WARNINGOct 28 2024
R-4.3-mac-aarch64WARNINGOct 28 2024

Exports:as_character_formulaDistHMMinvmlogitis_whole_numberlogsumexpmake_formulasMarkovChainmlogitmvnorm_invlinkmvnorm_linkObservationprec_to_covquad_pos_solvestrip_comments

Dependencies:abindbackportsBHbootcallrcheckmateCircStatsclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeadersstringistringrtensorAtibbleTMBtmbstanutf8vctrsviridisLitewithr