Sample covariates from multivariate normal distributions

Usage

sample_covariates_mvtnorm(
  data,
  cat_covs = NULL,
  n_subjects = nrow(data),
  exponential = FALSE,
  conditional = NULL,
  ...
)

data: data.frame (n x p) containing the original, observed, time-invariant covariates (ID should not be included) that will be used to inform the imputation.
cat_covs: character vector containing the names of the categorical covariates in orgCovs.
n_subjects: number of simulated subjects, default is the number of subjects in the data.
exponential: sample from exponential distribution? Default FALSE.
conditional: description...
...: additional arguments passed to mvrnorm() function

a data.frame with the simulated covariates, with n_subjects rows and p columns

missing values in data must be coded as NA