binaryOutcome: Simulates a binary model for use with 'generate.cluster.data'

In supcluster: Supervised Cluster Analysis

Simulates a binary model for use with generate.cluster.data

Description

Given a vector of frailties, say x_1,... it creates a binary variable from a logistic model with log odds ratio μ + x

Usage

binaryOutcome(mu)

Arguments

mu	Constant term μ

Value

A vector of binary variables.

Author(s)

David A. Schoenfeld

Examples

generatedData=generate.cluster.data(.25,npats=25,clusts=c(12,8),beta=c(-5,5),
                                    outcomeModel=binaryOutcome(0))
## The function is currently defined as
function (mu) 
{
    outpt = function(x) {
        m = length(x)
        p = exp(mu + x)/(1 + exp(mu + x))
        return(rbinom(m, 1, p))
    }
    return(outpt)
  }

supcluster documentation built on May 20, 2022, 1:07 a.m.