simulate_strat: Simulation function for stratified SRS
In tamytsujimoto/surveyROC: ROC curve for survey data

Generates stratified populations and draw stratified SRS from each population. Computes survey weighted ROC curve for each sample drawn form each of the genereated populations

simulate_strat(
  N_pop,
  pop_size,
  param_pop,
  prop_disease,
  N_sample,
  sample_size,
  grid = seq(0, 1, by = 0.1)
)

`N_pop`	numeric value for number of stratified population to be generated
`pop_size`	numeric value for population size of populations generated
`param_pop`	data frame containing population parameters (prob, mu0, mu1, sigma0, sigma1)
`N_sample`	numeric value for number of samples to be drawn
`sample_size`	numeric value for sample size of samples to be drawn
`grid`	numeric vector of points for roc curve from 0 to 1

a dataframe containing containing survey weighted point and interval estimates for ROC curve for each sample drawn from each of the generated populations

tamytsujimoto/surveyROC documentation built on Sept. 8, 2021, 11:35 p.m.