Description Usage Arguments Details Value See Also

View source: R/conformalInt_CV.R

Obtains predictive intervals on a testing dataset based on a `conformalIntCV`

object
from `conformalInt`

with `useCV = TRUE`

.

1 2 |

`object` |
an object of class |

`Xtest` |
testing covariates. |

`alpha` |
confidence level. |

`wthigh` |
upper truncation level of weights; see Details. |

`wtlow` |
lower truncation level of weights; see Details. |

`...` |
other arguments |

Given a testing set *X_1, X_2, …, X_n* and a weight function *w(x)*, the
weight of the weighted distribution *p_j = w(X_j) / (w(X_1) + \cdots + w(X_n))*.
In cases where some of *p_j* are extreme, we truncate *p_j* at level `wthigh`

and `wtlow`

to ensure stability. If `wthigh = Inf, wtlow = 0`

, no truncation
is being used.

predictive intervals. A data.frame with `nrow(Xtest)`

rows and two columns:
"lower" for the lower bound and "upper" for the upper bound.

`predict.conformalIntSplit`

, `conformalInt`

.

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