Description Usage Arguments Value See Also Examples

View source: R/predict.ICcforest.R

Compute predictions from ICcforest objects.

1 2 3 4 5 6 7 8 9 10 11 12 |

`object` |
an object as returned by |

`newdata` |
an optional data frame containing test data. |

`OOB` |
a logical specifying whether out-of-bag predictions are desired (only if |

`suppress` |
a logical specifying whether the messages from |

`type` |
a character string denoting the type of predicted value returned. For |

`FUN` |
a function to compute summary statistics. Predictions for each node must be
computed based on arguments |

`simplify` |
a logical indicating whether the resulting list of predictions should be
converted to a suitable vector or matrix (if possible), see |

`scale` |
a logical indicating scaling of the nearest neighbor weights by the sum of weights
in the corresponding terminal node of each tree, see |

`...` |
additional arguments. |

An object of class `ICcforest`

, as a subclass of `cforest`

.

`sbrier_IC`

for evaluation of model fit for interval-censored data

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
library(icenReg)
data(miceData)
## For ICcforest to run, Inf should be set to be a large number, for example, 9999999.
miceData$u[miceData$u == Inf] <- 9999999.
## First, fit an iterval-censored conditional inference forest
Cforest <- ICcforest(formula = Surv(l,u,type="interval2")~grp, data = miceData)
## Predict the survival function constructed using the non-parametric maximum likelihood estimator
Pred <- predict(Cforest, type = "prob")
## Out-of-bag prediction of the median survival time
PredOOB <- predict(Cforest, type = "response", OOB = TRUE)
``` |

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