sim_random_aspre: Simulate random dataset similar to ASPRE training data

In OptHoldoutSize: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score

Simulate random dataset similar to ASPRE training data

Description

Generate random population of individuals (e.g., newly pregnant women) with given population parameters

Assumes independence of parameter variation. This is not a realistic assumption, but is satisfactory for our purposes.

Usage

sim_random_aspre(n, params = NULL)

Arguments

n	size of population
params	list of parameters

Value

Matrix of samples

Examples

# Load ASPRE related data
data(params_aspre)

X=sim_random_aspre(1000,params_aspre)

print(c(median(X$age),params_aspre$age$median))

print(rbind(table(X$parity)/1000,params_aspre$parity$freq))

OptHoldoutSize documentation built on April 12, 2025, 1:34 a.m.