generate_instance_lfc: Generate data sets under least favorable parameter configurations

Description

Generates a (simulation) instance, a list of multiple datasets to be processed (analyzed) with process_instance. Ground truth parameters (Sensitvity & Specificity) are least-favorable in the sense that the type-I error rate of the subsequently applied multiple test procedures is maximized.

This function is only needed for simulation via batchtools, not relevant in interactive use!

Usage

generate_instance_lfc(
  nrep = 10,
  n = 100,
  prev = 0.5,
  random = FALSE,
  m = 10,
  se = 0.8,
  sp = 0.8,
  L = 1,
  rhose = 0,
  rhosp = 0,
  cortype = "equi",
  ...,
  data = NULL,
  job = NULL
)

Value

(list)
a single (LFC) simulation instance of length nrep

Arguments

nrep: (numeric)
integer, number of instances
n: (numeric)
integer, total sample size
prev: (numeric)
disease prevalence
random: (logical)
fixed prevalence (FALSE) or simple random sampling (TRUE)
m: (numeric)
integer, number of candidates
se: (numeric)
sensitivity
sp: (numeric)
specificity
L: (numeric)
worst alternative is computed under side condition Acc <= L
rhose: (numeric)
correlation parameter for sensitivity
rhosp: (numeric)
correlation parameter for specificity
cortype: (character)
correlation type ("equi" or "ak1")
...: (any)
further (named) arguments
data: (NULL)
ignored (for batchtools compatibility)
job: (NULL)
ignored (for batchtools compatibility)

Details

Utilizes same arguments as draw_data_lfc unless mentioned otherwise above.