makeRBPObj: Create data container for RBP curve.

In RBPcurve: The Residual-Based Predictiveness Curve

Create data container for RBP curve.

Description

Must be created for all subsequent plot function calls.

Usage

makeRBPObj(pred, y, positive = NULL)

Arguments

pred	[numeric] Predicted probabilities for each observation.
y	[numeric | factor] Class labels of the target variable. Either a numeric vector with values 0 or 1, or a factor with two levels.
positive	[character(1)] Set positive class label for target variable which is transformed as 1 to compute. Only needed when y is a "factor".

Value

Object members:

n [numeric(1)]

Number of observations.

pred [numeric(n)]

Predicted probabilities.

y [numeric(n)]

Target variable having the values 0 and 1.

positive [character(1)]

Positive class label of traget variable. Only present when y is a factor.

e0 [numeric(1)]

Average of the predicted probabilities conditional on y=0.

e1 [numeric(1)]

Average of the predicted probabilities conditional on y=1.

pev [numeric(1)]

Proportion of explained variation measure. Computed as e1-e0.

tpr [numeric(1)]

True positive rate.

fpr [numeric(1)]

False positive rate.

prev [numeric(1)]

Prevalence.

one.min.prev [numeric(1)]

One minus the value of the prevalence.

axis.x [numeric(n)]

Values for the X-Axis of the RBP curve.

axis.y [numeric(n)]

Values for the Y-Axis of the RBP curve.

RBPcurve documentation built on April 12, 2025, 1:27 a.m.