GenCohortMultiOutcome: GenCohortMultiOutcome

In wlktan/surrogateSampling: Functions to conduct surrogate guided sampling designs

Description

Generates a cohort with multivariate bernoulli outcomes where each outcome has an associated "surrogate"

Usage

GenCohortMultiOutcome(n, K, p, p_nonzero, beta0, betaZ.mat, betaX, probZ, probX,
  corr_y = NULL)

Arguments

n	cohort size
K	number of multivariate Bernoulli outcomes
p	Number of covariates (besides surrogates)
p_nonzero	Number of nonzero covariates (besides surrogates)
beta0	Length K vectors of intercepts; defines f(Y)
betaZ.mat	KxK matrix of coefficients of surrogate; defines f(Z,Y)
betaX	Length p vector of coefficient; defines f(X,Y)
probZ	Length K vector of probabilities; defines f(Z)
probX	Single number; defines f(X)
corr_y	Correlation between outcomes, defaults to NULL

Value

A list with the following components:

wlktan/surrogateSampling documentation built on May 23, 2019, 3:07 p.m.