smooth.hmm: Smooth HMM Parameters

In DBHC: Sequence Clustering with Discrete-Output HMMs

Smooth HMM Parameters

Description

Smooth the parameters of an HMM using absolute discounting given a threshold epsilon. Auxiliary function used in select.seeds, assign.clusters, and hmm.clust.

Usage

smooth.hmm(hmm, smoothing = 1e-04)

Arguments

hmm	A raw hmm object (see build_hmm).
smoothing	Smoothing parameter for absolute discounting in smooth.probabilities.

Value

An hmm object with smoothed probabilities.

See Also

Used in select.seeds, assign.clusters, and main function for the DBHC algorithm hmm.clust.

DBHC documentation built on Dec. 28, 2022, 2:44 a.m.