Hidden Hybrid Markov/Semi-Markov Model Fitting

Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) , which also includes several tools for handling missing data, nonparametric mixture of B-splines emissions (Langrock et al., 2015 ), fitting regime switching regression (Kim et al., 2008 ) and auto-regressive hidden hybrid Markov/semi-Markov model, and many other useful tools (read for more description: ).


Reference manual

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0.2.4 by Morteza Amini, 14 days ago

Report a bug at https://github.com/mortamini/hhsmm/issues

Browse source code at https://github.com/cran/hhsmm

Authors: Morteza Amini [aut, cre, cph] , Afarin Bayat [aut] , Reza Salehian [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, Rdpack, MASS, mice, cpr, psych

Depends on CMAPSS, mvtnorm

Suggests testthat

Linking to Rcpp

See at CRAN