'regmhmm' Fits Hidden Markov Models with Regularization

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Documentation for package ‘regmhmm’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

backward	Probability Calculation using the Backward Algorithm for Hidden Markov Models
compute_joint_state	Posterior Joint Probability Calculation for Hidden States in a Hidden Markov Model
compute_loglikelihood	Log-Likelihood Calculation for Hidden Markov Models (Forward Algorithm)
compute_state	Posterior Probability Estimation for Hidden States in Hidden Markov Models
forward	Forward Algorithm for Probability Calculation in Hidden Markov Models
forward_backward	Probability Calculation in Hidden Markov Models using Forward-Backward Algorithm
HMM	Fitting Hidden Markov Models using Expectation-Maximization (EM) Algorithm
HMM_C_raw	Fit Hidden Markov Model (HMM)
HMM_one_step	Single EM Iteration for Fitting Hidden Markov Models (HMM)
IRLS_EM	Iterative Reweighted Least Squares for the EM algorithm
print.HMM	Print Outputs from a Hidden Markov Model (HMM)
rHMM	Fit Regularized Hidden Markov Models (rHMM) with Modified CCD
rHMM_one_step	Single Iteration of EM Algorithm for Fitting Regularized Hidden Markov Model (rHMM)
simulate_HMM_data	Simulate Hidden Markov Model (HMM) Data