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simulate_pars

Simulate Parameters of Hidden Markov Models

Description

These are helper functions for quick construction of initial values for various model building functions. Mostly useful for global optimization algorithms which do not depend on initial values.

Usage

simulate_initial_probs(n_states, n_clusters = 1)

simulate_transition_probs(n_states, n_clusters = 1, left_right = FALSE,
  diag_c = 0)

simulate_emission_probs(n_states, n_symbols, n_clusters = 1)

Arguments

n_states

Number of states in each cluster.
n_clusters

Number of clusters.
left_right

Constrain the transition probabilities to upper triangular. Default is FALSE.
diag_c

A constant value to be added to diagonal of transition matrices before scaling.
n_symbols

Number of distinct symbols in each channel.

See Also

build_hmm, build_mhmm, build_mm, build_mmm, and build_lcm for constructing different types of models.

seqHMM

Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series

v1.0.14
GPL (>= 2)
Authors
Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Satu Helske [aut] (<https://orcid.org/0000-0003-0532-0153>)
Initial release
2019-10-21

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