compute_cdf_diff: Empirical CDF Difference

In ipd: Inference on Predicted Data

Empirical CDF Difference

Description

Computes the difference between the empirical CDFs of the data and the predictions.

Usage

compute_cdf_diff(Y, f, grid, w = NULL)

Arguments

Y	(matrix): n x 1 matrix of observed data.
f	(matrix): n x 1 matrix of predictions.
grid	(matrix): Grid of values to compute the CDF at.
w	(vector, optional): n-vector of sample weights.

Value

(list): Difference between the empirical CDFs of the data and the predictions and its standard deviation at the specified grid points.

Examples

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

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

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

compute_cdf_diff(Y, f, grid)

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