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)
)