process_instance {cases}

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.

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)
)

Arguments

instance

generated via generate_instance_lfc or generate_instance_roc.

contrast

cases_contrast object, specified via define_contrast

benchmark

value to compare against (RHS), should have same length as data.

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 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

further parameters given as named list

...

additional named parameters

data

ignored (for batchtools compatibility)

job

for batchtools compatibility, do not change

Details

Utilizes same arguments as evaluate unless mentioned above.

Value

standardized evaluation results