rectified_cdf: Rectified CDF

In ipd: Inference on Predicted Data

Rectified CDF

Description

Computes the rectified CDF of the data.

Usage

rectified_cdf(Y_l, f_l, f_u, grid, w_l = NULL, w_u = NULL)

Arguments

Y_l	(vector): Gold-standard labels.
f_l	(vector): Predictions corresponding to the gold-standard labels.
f_u	(vector): Predictions corresponding to the unlabeled data.
grid	(vector): Grid of values to compute the CDF at.
w_l	(vector, optional): Sample weights for the labeled data set.
w_u	(vector, optional): Sample weights for the unlabeled data set.

Value

(vector): Rectified CDF of the data at the specified grid points.

Examples

Y_l <- c(1, 2, 3, 4, 5)

f_l <- c(1.1, 2.2, 3.3, 4.4, 5.5)

f_u <- c(1.2, 2.3, 3.4)

grid <- seq(0, 6, by = 0.5)

rectified_cdf(Y_l, f_l, f_u, grid)

ipd documentation built on April 4, 2025, 4:41 a.m.