generate_instance_lfc {cases} | R Documentation |
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.
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
)
Arguments
nrep |
integer, number of instances |
n |
integer, total sample size |
prev |
numeric, disease prevalence |
random |
logical, fixed prevalence (FALSE) or simple random sampling (TRUE) |
m |
integer, number of candidates |
se |
numeric |
sp |
numeric |
L |
numeric |
rhose |
numeric |
rhosp |
numeric |
cortype |
character, "equi" or "ak1" |
... |
further arguments |
data |
ignored (for batchtools compatibility) |
job |
ignored (for batchtools compatibility) |
Details
Utilizes same arguments as draw_data_lfc unless mentioned above.
Value
a list, a single (LFC) simulation instance
[Package cases version 0.1.1 Index]