tpc_example: Simulated Life-Course Data

In causalDisco: Tools for Causal Discovery on Observational Data

Simulated Life-Course Data

Description

A small simulated data example intended to showcase the TPC algorithm. Note that the variable name prefixes defines which period they are related to ("child", "youth" or "oldage").

Usage

tpc_example

Format

A data.frame with 200 rows and 6 variables.

child_x1

Structural equation: X_1 := \epsilon_1 with \epsilon_1 \sim \mathrm{Unif}\{0,1\}

child_x2

Structural equation: X_2 := 2 \cdot X_1 + \epsilon_2 with \epsilon_2 \sim N(0,1)

youth_x3

Structural equation: X_3 := \epsilon_3 with \epsilon_3 \sim \mathrm{Unif}\{0, 1\}

youth_x4

Structural equation: X_4 := X_2 + \epsilon_4 with \epsilon_4 \sim N(0,1)

oldage_x5

Structural equation: X_5 := X_3^2 + X_3 - 3 \cdot X_2 + \epsilon_5 with \epsilon_5 \sim N(0,1)

oldage_x6

Structural equation: X_6 := X_4^3 + X_4^2 + 2 \cdot X_5 + \epsilon_6 with \epsilon_6 \sim N(0,1)

References

Petersen, AH; Osler, M and Ekstrøm, CT (2021): Data-Driven Model Building for Life-Course Epidemiology, American Journal of Epidemiology.

Examples

data(tpc_example)
head(tpc_example)

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