simulate_one_predictor: Simulate Semi-parametric AUC regression adjusting for one...

In sbohora/sAUC: Semi-parametric Area Under the Curve (AUC) regression

Description

It asks for number of iterations to be run, number of observations in treatment and control groups for the simulation of Semiparametric AUC regression adjusting for one discrete covariate. In this simulation, true model parameters are as follows: β_0 = 0.15, β_1 = 0.50, β_2 = 1.

Usage

simulate_one_predictor(iter = 100, m = 20, p = 30, b0 = 0.15,
  b1 = 0.5, b2 = 1)

Arguments

iter	Number of realizations to be run
m	Number of observations in treatment condition
p	Number of observations in control condition
b0	True intercept value
b1	True beta 1 value
b2	True beta 2 value

Author(s)

Som Bohora

Examples

simulate_one_predictor(iter = 200, m = 100, p = 120)

sbohora/sAUC documentation built on May 29, 2019, 3:23 p.m.