ComputeAucAndNri: Compute Auc And Nri

In citronmeliss/predictionpackr: Predictionpackr

Description

Fit the model to the training data, predict on the test data, and evaluate the predictions.

Usage

ComputeAucAndNri(data, indices, boot = FALSE, log = TRUE,
  clean.start = TRUE, ...)

Arguments

data	Data frame. The study data. No default.
indices	Allows the boot function to pick indices.
boot	Logical. If TRUE the sample is treated as a bootstrap sample. Then, indices are used by the boot package to resample the sample, and progress is logged as a bootstrap. Defaults to FALSE
log	Logical. If TRUE progress is logged to a logfile. Defaults to TRUE
clean.start	Logical. If TRUE logfile is removed and new information is logged. If FALSE information is appended to the logfile. Defaults to FALSE.

citronmeliss/predictionpackr documentation built on Feb. 10, 2020, 12:19 a.m.