Description Usage Arguments Value

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.

1 | ```
bic(ttnsr,theta,omega,d,r)
``` |

`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. |

BIC value at given inputs based on cumulative logistic model.

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