| llh {communication} | R Documentation |
Title
Description
Title
Usage
llh(Xs, mod, control = list())
Arguments
Xs |
List of nsequences matrices; each matrix represents one observation sequence and is of dimension nobs x nfeatures. For a single observation sequence, a single matrix can be provided |
mod |
Model object of class 'feelr.hmm', as output by |
control |
List of control parameters |
Value
List with two components. llhs is a numeric vector of
log-likelihoods of each observation sequence in Xs. llh_total
is the log-likelihood of all observation sequences together, i.e.
sum(llhs). If Xs is the same data that generated mod,
the values calculated here will be slightly lower than those output in
mod$llhs. This is because hmm estimates the starting state of
each sequence, whereas here it is assumed that the starting state is drawn
from the stationary distribution mod$delta.