Generate Data from a Multivariate Normal Distribution following a Simple Mediation Model with Data Missing Not at Random - 20% (Simulation)

mvn_mnar_20_dat_simulation(
  dir = getwd(),
  all = TRUE,
  taskid = NULL,
  overwrite = FALSE,
  par = TRUE,
  ncores = NULL,
  blas_threads = TRUE,
  mc = TRUE,
  lb = FALSE,
  cl_eval = FALSE,
  cl_export = FALSE,
  cl_expr,
  cl_vars
)

Arguments

dir	Character string. Directory where results of `mvn_dat_*` are stored.
all	Logical. Process all results.
taskid	Numeric. Task ID.
overwrite	Logical. Overwrite existing results.
par	Logical. If `TRUE`, use multiple cores. If `FALSE`, use `lapply()`.
ncores	Integer. Number of cores to use if `par = TRUE`. If unspecified, defaults to `detectCores() - 1`.
blas_threads	Logical. If `TRUE`, set BLAS threads using `blas_set_num_threads(threads = blas_get_num_procs())`. If `FALSE`, set BLAS threads using `blas_set_num_threads(threads = 1)`. If `par = TRUE`, `blas_threads` is automatically set to `FALSE` to prevent conflicts in parallel processing. This argument is useful when `FUN` can handle implicit parallelism when `par = FALSE`, for example linear algebra operations.
mc	Logical. If `TRUE`, use `parallel::mclapply()`. If `FALSE`, use `parallel::parLapply()` or `parallel::parLapplyLB()`. Ignored if `par = FALSE`.
lb	Logical. If `TRUE` use `parallel::parLapplyLB()`. If `FALSE`, use `parallel::parLapply()`. Ignored if `par = FALSE` and `mc = TRUE`.
cl_eval	Logical. Execute `parallel::clusterEvalQ()` using `cl_expr`. Ignored if `mc = TRUE`.
cl_export	Logical. Execute `parallel::clusterExport()` using `cl_vars`. Ignored if `mc = TRUE`.
cl_expr	Expression. Expression passed to `parallel::clusterEvalQ()` Ignored if `mc = TRUE`.
cl_vars	Character vector. Names of objects to pass to `parallel::clusterExport()` Ignored if `mc = TRUE`.

Author

Ivan Jacob Agaloos Pesigan

Generate Data from a Multivariate Normal Distribution following a Simple Mediation Model with Data Missing Not at Random - 20% (Simulation)

Arguments

See also

Author