posterior_inference: Posterior inference based on HMM estimates.

Description Usage Arguments Value

Description

Make posterior inference based on HMM estimates.

Usage

1
posterior_inference(alpha, beta, Z = NULL, train = TRUE)

Arguments

alpha

The forward probabilities.

beta

The backward probabilities.

Z

The true hidden states.

train

Default: True. Training mode with known true hidden states.

Value

A list of state inference and accuracy measure if in training setting. State inference if in testing setting (i.e. true hidden states are unknown).


ananjysong/HMMdmdv documentation built on May 13, 2019, 5:33 p.m.