rarhsmm: Regularized Autoregressive Hidden Semi Markov Model

Fit Gaussian hidden Markov (or semi-Markov) models with / without autoregressive coefficients and with / without regularization. The fitting algorithm for the hidden Markov model is illustrated by Rabiner (1989) <doi:10.1109/5.18626>. The shrinkage estimation on the covariance matrices is based on the method by Ledoit et al. (2004) <doi:10.1016/S0047-259X(03)00096-4>. The shrinkage estimation on the autoregressive coefficients uses the elastic net shrinkage detailed in Zou et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>.

Getting started

Package details

AuthorZekun (Jack) Xu, Ye Liu
MaintainerZekun Xu <zekunxu@gmail.com>
Package repositoryView on CRAN
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rarhsmm documentation built on May 2, 2019, 9:33 a.m.