genenate_clust: Generate one cluster of binormal distributions

In tamytsujimoto/surveyROC: ROC curve for survey data

Description

Generate one cluster 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

genenate_clust(size_clus, corr_mvn, mean0, mean1, sigma0, sigma1, p1, tau)

Arguments

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

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.