Skip to contents

Set parameters to generate correlated multivariate normal data for internal and external patients.

Usage

baseline_covariates(
  names,
  means_int,
  means_ext = means_int,
  covariance_int,
  covariance_ext = covariance_int
)

Arguments

names

character vector of variable names.

means_int

numeric vector of means for internal patients. Must have same length as names

means_ext

numeric vector of means for external patients. Must have same length as names

covariance_int

variance-covariance matrix for generating multivariate normal for internal patients. Must be square matrix with same number of rows and length(names)

covariance_ext

variance-covariance matrix for generating multivariate normal data for external patients. Must be square matrix with same number of rows and length(names)

Value

BaselineObject to build simulated dataset

Examples

corr_covs <- baseline_covariates(
  names = c("b1", "b2"),
  means_int = c(5, 25),
  covariance_int = covariance_matrix(diag = c(1, 1), upper_tri = 0.4)
)