Description Usage Arguments Value Author(s) See Also Examples

Predict method for `blrm()`

objects

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
## S3 method for class 'blrm'
predict(
object,
...,
kint = NULL,
ycut = NULL,
zcppo = TRUE,
fun = NULL,
funint = TRUE,
type = c("lp", "fitted", "fitted.ind", "mean", "x", "data.frame", "terms", "cterms",
"ccterms", "adjto", "adjto.data.frame", "model.frame"),
se.fit = FALSE,
codes = FALSE,
posterior.summary = c("mean", "median", "all"),
cint = 0.95
)
``` |

`object, ..., type, se.fit, codes` |
see |

`kint` |
This is only useful in a multiple intercept model such as the ordinal logistic model. There to use to second of three intercepts, for example, specify |

`ycut` |
for an ordinal model specifies the Y cutoff to use in evaluating departures from proportional odds, when the constrained partial proportional odds model is used. When omitted, |

`zcppo` |
applies only to |

`fun` |
a function to evaluate on the linear predictor, e.g. a function created by |

`funint` |
set to |

`posterior.summary` |
set to |

`cint` |
probability for highest posterior density interval. Set to |

a data frame, matrix, or vector with posterior summaries for the requested quantity, plus an attribute `'draws'`

that has all the posterior draws for that quantity. For `type='fitted'`

and `type='fitted.ind'`

this attribute is a 3-dimensional array representing draws x observations generating predictions x levels of Y.

Frank Harrell

1 2 3 4 5 |

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