generate_data_lfc: Generate binary data (LFC model)

In maxwestphal/DTAmc: Diagnostic Test Accuracy studies with multiple comparisons

Description

Generate binary data (LFC model)

Usage

generate_data_lfc(
  n = 100,
  prev = c(0.5, 0.5),
  random = FALSE,
  m = 10,
  se = 0.8,
  sp = 0.8,
  B = round(m/2),
  L = 1,
  Rse = diag(rep(1, m)),
  Rsp = diag(rep(1, m)),
  modnames = paste0("model", 1:m),
  ...
)

Arguments

n	integer, total sample size
prev	numeric, disease and healthy prevalence (adds up to 1)
random	logical, random sampling (TRUE) or fixed prevalence (FALSE)
m	integer, number of models
se	numeric, sensitivity (length 1)
sp	numeric, specificity (length 1)
B	integer, between 1 and m, specifies how many sensitivity values are projected to 1
L	numeric, worst alternative is computed under side condition Acc <= L (default value L=1 corresponds to true LFC where values are projected to 1)
Rse	matrix, correlation matrix for empirical sensitivities (m x m)
Rsp	matrix, correlation matrix for empirical specificities (m x m)
modnames	character, model names (length m)
...	further arguments (currently unused)

Value

Generated binary dataset

Examples

data <- generate_data_lfc()
head(data)

maxwestphal/DTAmc documentation built on Dec. 21, 2021, 3:52 p.m.