process_instance: Analyze simulated synthetic datasets.

Description

Process data instances, a list of multiple datasets generated via generate_instance_lfc or generate_instance_roc. This function applies evaluate to all datasets.

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

Usage

process_instance(
  instance = NULL,
  contrast = "cases::define_contrast('raw', NA)",
  benchmark = 0.5,
  alpha = 0.05,
  alternative = "greater",
  adjustment = "none",
  transformation = "none",
  analysis = "co-primary",
  regu = "c(1,1/2,1/4)",
  pars = "list()",
  ...,
  data = NULL,
  job = list(id = NA)
)

Value

(list)
standardized evaluation results

Arguments

instance: (list)
generated via generate_instance_lfc or generate_instance_roc.
contrast: (cases_contrast)
specified via define_contrast
benchmark: (numeric)
value to compare against (RHS), should have same length as data or length one if all benchmark values are identical.
alpha: (numeric)
significance level (default: 0.05)
alternative: (character)
specify alternative hypothesis
adjustment: (character)
specify type of statistical adjustment taken to address multiplicity
transformation: (character)
define transformation to ensure results (e.g. point estimates, confidence limits) lie in unit interval ("none" (default) or "logit")
analysis: (character)
"co-primary" (default; only option currently)
regu: (numeric | logical)
vector of length 3, specify type of shrinkage. Alternatively, logical of length one (TRUE := c(2, 1, 1/2), FALSE := c(0, 0, 0))
pars: (list)
further parameters given as named list
...: (any)
additional named parameters
data: (NULL)
ignored (for batchtools compatibility)
job: (NULL)
for batchtools compatibility, do not change

Details

Utilizes same arguments as evaluate unless mentioned otherwise above.