# 'regmhmm' Fits Hidden Markov Models with Regularization

## 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