Function reference • HiddenSemiMarkov

Specifying a hidden semi-Markov model These functions allows to specify a hidden Semi Markov model.
`specify_hsmm()`	Specifies a hidden semi-Markov model
`available_sojourn_dist()`	Provides the list of currently supported sojourn distributions and the list of their parameters.
`available_marginal_emission_dist()`	Provides the list of currently supported marginal emission distributions and the list of their parameters.
`summary_hsmm()`	Prints the model parameters.
Simulating sequences of hidden states and observations
`simulate_hsmm()`	Simulate a state and observation sequence from a hidden semi-Markov model.
Fitting a model to observation sequences. These functions allows to fit a hidden Semi Markov model a set of observation sequences.
`fit_hsmm()`	Fits a hidden semi-Markov model to data sequences
`plot_hsmm_fit_status()`	Visualizes the status of the EM-procedure.
Predicting the hidden states sequence from observation sequences.
`predict_states_hsmm()`	Predicts the hidden state sequence from observations
`predict(<hsmm>)`	Predicts the hidden state sequence from observations
Visualization functions Functions to visualize observation sequences and model specifications (such as the model graph or the sojourn distributions).
`plot_hsmm_seq()`	Plots a single sequence of observation.
`available_emission_viz_options()`	Provides the list of currently supported visualization options for the observations, depending on their emission distribution.
`plot_hsmm_transitions()`	Visualizes the model graph with transition probabilities.
`plot_hsmm_sojourn_dist()`	Visualizes the sojourn distributions of a hidden semi-Markov model.
`plot_hsmm_marg_dist()`	Visualizes the marginal emission distribution of a `hsmm` model.
`plot_hsmm_joint_em_prob()`	Visualizes the joint emission probabilities (2x2) of a hidden semi-Markov model.
`plot_hsmm_state_colors()`	Visualization of the model's state colors.
Labelling function
`label_sequences()`	Interactive app for the labeling of sequences with mode states
Simple hidden semi-Markov model for demos
`simple_model`	A simple hidden semi-Markov model for function demonstration purposes.

Reference

Specifying a hidden semi-Markov model

Simulating sequences of hidden states and observations

Fitting a model to observation sequences.

Predicting the hidden states sequence from observation sequences.

Visualization functions

Labelling function

Simple hidden semi-Markov model for demos