predict_GUESS {CalibratR}

predict_GUESS

Description

returns calibrated predictions for the instances new using the trained GUESS calibration model build_guess_object. Two different evaluation methods are available. Method 1: returns the p-value for the score new under the distribution that is handed over in the build_guess_object Method 2: returns the probability density value for the score new under the distribution that is handed over in the build_guess_object

Usage

predict_GUESS(build_guess_object, new, density_evaluation = 2,
  return_class_density = FALSE)

Arguments

build_guess_object

output from the build_GUESS method

new

vector of uncalibrated probabilities

density_evaluation

which density evaluation method should be used to infer calculate probabilities, Default: 2

return_class_density

if set to TRUE, class densities p(x|class) are returned, Default: FALSE

Details

dens_case and dens_control are only returned when return_class_density is set to TRUE

Value

a list object containing the following components:

predictions

contains a vector of calibrated predictions

pred_idx

which density evaluation method was used

significance_test_set

the percentage of new instances that was evaluated using significant prediction estimates

dens_case

a vector containing the p(x|case) values

dens_control

a vector containing the p(x|control) values