simulateData: Simulate example data for risk standardization

In StatGent/RiskStandard: Package for benchmarking clinical care centers

Description

Simulate example data for risk standardization

Usage

simulateData(n = 10000, m = 50, l = 5, betaL = FALSE)

Arguments

n	total number of patients; default
m	initial number of centers (min. 10); default value 50
l	number of patient-specific covariates in outcome model; default
betaL	if FALSE (default) L is distributed according to a N(0,1) distribution; if TRUE L is distributed according to a Beta(1,6) distribution

Value

list with three components: L (model matrix), center (vector) and Y (vector; binary outcome variable)

Examples

set.seed(130513)
simulatedData <- simulateData()
str(simulatedData)

StatGent/RiskStandard documentation built on May 9, 2019, 1:57 p.m.