ghcm_sim_data: GHCM simulated data

In ghcm: Functional Conditional Independence Testing with the GHCM

GHCM simulated data

Description

A simulated dataset containing a combination of functional and scalar variables. Y_1 and Y_2 are scalar random variables and are both functions of Z. X, Z and W are functional, Z is a function of X and W is a function of Z.

Usage

ghcm_sim_data

ghcm_sim_data_irregular

Format

ghcm_sim_data is a data frame with 500 rows of 5 variables:

Y_1

Numeric vector.

Y_2

Numeric vector.

Z

500 x 101 matrix.

X

500 x 101 matrix.

W

500 x 101 matrix.

ghcm_sim_data_irregular is a list with 5 elements:

Y_1

Numeric vector.

Y_2

Numeric vector.

Z

500 x 101 matrix.

X

A data frame with

.obs

Integer between 1 and 500 indicating which curve the row corresponds to.

.index

Function argument that the curve is evaluated at.

.value

Value of the function.

W

A data frame with

.obs

Integer between 1 and 500 indicating which curve the row corresponds to.

.index

Function argument that the curve is evaluated at.

.value

Value of the function.

Details

In ghcm_sim_data the functional variables each consists of 101 observations on an equidistant grid on [0, 1].

In ghcm_sim_data_irregular the functional variables X and W are instead only observed on a subsample of the original equidistant grid.

Source

The generation script can be found in the data-raw folder of the package.

ghcm documentation built on Nov. 2, 2023, 5:48 p.m.