beta_predict: Predict Calibrated Probabilities

In betacal: Beta Calibration

Description

Returns calibrated probabilities from calib$model, where calib is obtained by calling the beta_calibration function.

Usage

beta_predict(p, calib)

Arguments

p	A vector of probabilities that the model will calibrate.
calib	A list containing a calibration map, a calibration model and the fitted parameters, obtained by calling the beta_calibration function.

See Also

beta_predict.

Examples

## Creating a vector of probabilities
p <- seq(0.01,0.99,0.01)

## Creating a label vector based on the probability vector
y <- rbinom(99,1,p)

## Fitting beta calibration with three parameters
calib <- beta_calibration(p, y, "abm")

## Obtaining calibrated probabilities
probas <- beta_predict(p, calib)

betacal documentation built on May 1, 2019, 10:24 p.m.