predict.traforest.nodat: Transformation Forests See '?trtf::predict.traforest'.

In difuture-lmu/rmmodeldata: Remove data from models

Transformation Forests See ?trtf::predict.traforest.

Description

Transformation Forests See ?trtf::predict.traforest.

Usage

## S3 method for class 'traforest.nodat'
predict(
  object,
  newdata,
  mnewdata = data.frame(1),
  K = 20,
  q = NULL,
  type = c("weights", "node", "coef", "trafo", "distribution", "survivor", "density",
    "logdensity", "hazard", "loghazard", "cumhazard", "quantile"),
  OOB = FALSE,
  simplify = FALSE,
  trace = FALSE,
  updatestart = FALSE,
  applyfun = NULL,
  cores = NULL,
  ...
)

Arguments

object	(see ?trtf::predict.traforest)
newdata	(see ?trtf::predict.traforest)
mnewdata	(see ?trtf::predict.traforest)
K	(see ?trtf::predict.traforest)
q	(see ?trtf::predict.traforest)
type	(see ?trtf::predict.traforest)
OOB	(see ?trtf::predict.traforest)
simplify	(see ?trtf::predict.traforest)
trace	(see ?trtf::predict.traforest)
updatestart	(see ?trtf::predict.traforest)
applyfun	(see ?trtf::predict.traforest)
cores	(see ?trtf::predict.traforest)
...	(see ?trtf::predict.traforest)

difuture-lmu/rmmodeldata documentation built on July 14, 2022, 4:49 a.m.