simulate_roc: Simulate data to estimate ROC curves
In aaamini/nett: Network Analysis and Community Detection

simulate_roc

R Documentation

Simulate data to estimate ROC curves

Simulate data from the null and alternative distributions to estimate ROC curves for a collection of methods.

simulate_roc(
  apply_methods,
  gen_null_data,
  gen_alt_data,
  nruns = 100,
  core_count = parallel::detectCores() - 1,
  seed = NULL
)

`apply_methods`	a function that returns a data.frame with columns "method", "tstat" and "twosided"
`gen_null_data`	a function that generate data under the null model
`gen_alt_data`	a function that generate data under the alternative model
`nruns`	number of simulated data from the null/alternative model
`core_count`	number of cores used in parallel computing
`seed`	seed for random simulation

a list of result

`roc`	A data frame used to plot ROC curves with columns: method, whether a two sided test, false positive rate (FPR), and true positive rate (TPR)
`raw`	A data frame containing raw output from null and alternative models with columns: method, statistics value, whether a two sided test, and the type of hypothesis
`elapsed_time`	symstem elapsed time for generating ROC data