Description Usage Arguments Value Author(s) See Also Examples

This is an internal function used by `glmnetcr`

to restructure an ordinal dataset to represent the K-1 conditionally independent likelihoods needed for fitting a forward continuation ratio model

1 | ```
cr.forward(x, y, weights)
``` |

`x` |
covariates to be included in the model |

`y` |
ordinal outcome |

`weights` |
observation weights. Can be total counts if responses are proportion matrices. Default is 1 for each observation |

`object` |
Yields an object where the first column y is the ordinal outcome that has been dichotomously coded and the expanded covariate matrix for the K-1 conditionally independent likelihoods |

Kellie J. Archer

See Also as `cr.backward`

, `glmnetcr`

1 2 3 4 |

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