generate_pop_clust: Generate a population of clustered observations

In tamytsujimoto/surveyROC: ROC curve for survey data

Description

Generate a population containing clusters containing healthy and diseased observations generated from normal distributions. The correlated binary data is generated using the multivariate probit method. The correlated continuous marker values are generated by including a random effect

Usage

generate_pop_clust(N, mean0, mean1, sigma0, sigma1, p1, cluster_size, tau)

Arguments

mean0	numeric value of mean for class label 0 (healthy)
mean1	numeric value of mean for class label 1 (diseased)
sigma0	numeric value of standard deviation for class label 0 (healthy)
sigma1	numeric value of standard deviation for class label 1 (diseased)
p1	numeric value for proportion of diseased observations in the population
size_clus	size of cluster
corr_mvn	numeric value for correlation in multivariate normal distribution

Value

Dataframe containing

• cluster_size: cluster size

• X: continuous marker values

• D: class labels (0: healthy; 1: diseased)

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