bic {TensorComplete}R Documentation

Bayesian Information Criterion (BIC) value.

Description

Compute Bayesian Information Criterion (BIC) given a parameter tensor, an observed tensor, the dimension, and the rank based on cumulative logistic model. This BIC function is designed for selecting rank in the fit_ordinal function.

Usage

bic(ttnsr,theta,omega,d,r)

Arguments

ttnsr

An observed tensor.

theta

A continuous-valued tensor (latent parameters).

omega

The cut-off points.

d

Dimension of the tensor.

r

Rank of the tensor.

Value

BIC value at given inputs based on cumulative logistic model.


[Package TensorComplete version 0.2.0 Index]