simulate_tscs_strat: Simulation function for stratified Two Stage Cluster Sampling

In tamytsujimoto/surveyROC: ROC curve for survey data

Description

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

Usage

simulate_tscs_strat(
  N_pop,
  N,
  param_pop,
  p1,
  cluster_size,
  tau = 1,
  N_sample,
  sample_size_psu,
  sample_size_ssu,
  grid = seq(0, 1, by = 0.1)
)

Arguments

N_pop	numeric value for number of stratified population to be generated
param_pop	data frame containing population parameters (prob, mu0, mu1, sigma0, sigma1)
N_sample	numeric value for number of samples to be drawn from each population
sample_size_psu	numeric value for number of psu selected per strata
sample_size_ssu	numeric value for number of ssu selected per selected psu
grid	numeric vector of points for roc curve from 0 to 1
N_psu	numeric vector of number os psu's (clusters) per strata
cluster_size_strat	list of cluster sizes per strata
prop_disease	numeric value for the proportion of diseased in population

Value

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.