zeitzeigerEnsembleLikelihood: Combine predictions into an ensemble using the log-likelihood

In hugheylab/zeitzeiger: Regularized Supervised Learning for Data from Rhythmic Systems

Combine predictions into an ensemble using the log-likelihood

Description

Make predictions by finding the maximum of the sum of the log-likelihoods.

Usage

zeitzeigerEnsembleLikelihood(timeDepLike, timeRange)

Arguments

timeDepLike	List or 3-D array of time-dependent likelihood from zeitzeigerPredict(). If a list, then each element (for each member of the ensemble) should be a matrix in which rows correspond to observations and columns correspond to time-points. If a 3-D array, the three dimensions should correspond to observations, time-points, and members of the ensemble.
timeRange	Vector of time-points at which the likelihood was calculated.

Value

timeDepLike	Matrix of likelihood for observations by time-points.
timePred	Vector of predicted times. Each predicted time will be an element of timeRange.

See Also

zeitzeigerPredict(), zeitzeigerEnsembleMean()

hugheylab/zeitzeiger documentation built on Dec. 7, 2022, 2:29 a.m.