num_data_latent: Simulated Numerical Data with Latent Variable

In causalDisco: Tools for Causal Discovery on Observational Data

Simulated Numerical Data with Latent Variable

Description

A dataset similar to num_data but with the variable Z treated as a latent variable and thus omitted.

Usage

num_data_latent

Format

A data.frame with 1000 rows and 4 variables.

X1

Structural equation: X_1 := \sqrt{Z} + \epsilon_1 with \epsilon_1 \sim \mathrm{Unif}[0, 2]

X2

Structural equation: X_2 := 2 \cdot X_3 - \epsilon_2 with \epsilon_2 \sim N(5, 1)

X3

Structural equation: X_3 := \epsilon_3 with \epsilon_3 \sim \mathrm{Unif}[5, 10]

Z

Structural equation: Z := |\epsilon_4| with \epsilon_4 \sim N(10, 1)

Y

Structural equation: Y := X_1^2 + X_2 - X_3 - Z + \epsilon_5 with \epsilon_5 \sim N(10, 1)

Details

The R code used to generate this dataset is as follows:

data(num_data)
num_data_latent <- num_data[, c("X1", "X2", "X3", "Y")]

See Also

num_data

Examples

data(num_data_latent)
head(num_data_latent)

causalDisco documentation built on April 13, 2026, 5:06 p.m.