predict.dindexfit: Predict method for distributional index model (DIM)

In AlexanderHenzi/isodistrreg: Isotonic Distributional Regression (IDR)

Predict method for distributional index model (DIM)

Description

Prediction based on distributional index model fit.

Usage

## S3 method for class 'dindexfit'
predict(
  object,
  data = NULL,
  digits = 3,
  interpolation = "linear",
  asplitAvail = TRUE,
  ...
)

Arguments

object	DIM fit (object of class "dindexfit").
data	optional data.frame containing variables with which to predict. In-sample predictions are returned if this is omitted.
digits	number of decimal places for the predictive CDF.
interpolation	interpolation method for univariate index Default is "linear". Any other argument will select midpoint interpolation (see 'Details' in predict.idrfit). Has no effect for multivariate index function.
asplitAvail	use asplit for splitting arrays (default is TRUE). Set to FALSE for R Versions < 3.6, where asplit is not available.
...	further arguments passed to the index prediction function.

Value

A list of predictions, as for predict.idrfit.

See Also

Examples in dindexm.

AlexanderHenzi/isodistrreg documentation built on Nov. 14, 2023, 12:08 a.m.