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hmmTMB (version 1.0.2)

hmmTMB-package: hmmTMB: Fit Hidden Markov Models using Template Model Builder

Description

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.

Arguments

Author

Maintainer: Theo Michelot theo.michelot@dal.ca

Authors:

  • Richard Glennie [contributor]

Details

The package hmmTMB is based on three main classes (i.e., types of objects): MarkovChain, Observation, and HMM. Type ?MarkovChain, ?Observation or ?HMM to find their documentation, or consult the package vignettes for detailed examples of the hmmTMB workflow.

See Also