wtrue.results: Summary evaluation of predictive performance

In pmckeigue/wevid: Weight of evidence for quantifying performance of a binary classifier

Description

Summary evaluation of predictive performance

Usage

wtrue.results(studyname, y, posterior.p, prior.p)

Arguments

studyname	Name of the study.
y	Binary outcome label (0 for controls, 1 for cases).
posterior.p	Vector of posterior probabilities generated by a logistic regression model.
prior.p	Vector of prior probabilities.

Value

A dataframe listing some metrics of predictive performance.

Examples

data("cleveland") # load example dataset
with(cleveland,
     wtrue.results("cleveland", y, posterior.p, prior.p))

pmckeigue/wevid documentation built on May 29, 2019, 5:41 a.m.