likelihood: Log-likelihood function (cost function).

In TensorComplete: Tensor Noise Reduction and Completion Methods

Log-likelihood function (cost function).

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.

TensorComplete documentation built on April 14, 2023, 9:10 a.m.