likelihood: Log-likelihood function (cost function)

In tensorordinal: Tensor Noise Reduction and Completion Based on Ordinal Observations

Description

Return log-likelihood function (cost function) value evaluated at a given parameter tensor, an observed tensor, and cut-off points

Usage

likelihood(ttnsr,theta,omega,type = c("ordinal","Gaussian"))

Arguments

ttnsr	an observed tensor data
theta	a continuous-valued tensor (latent parameters)
omega	the cut-off points
type	types of log-likelihood function "ordinal" specifies log-likelihood function based on the cumulative logistic model "Gaussian" specifies log-likelihood function based on the Gaussian model

Value

log-likelihood value at given inputs

tensorordinal documentation built on Jan. 13, 2021, 9:17 p.m.