Simulation settings from Gonzalez Ginestet et al. (2019+). "Stacked IPCW Bagging bagging: a case study in the HIV care registry"

Function that generates data of the different simulation studies presented in the accompanying paper. This function requires the gam package to be installed.

datagenPaper(J, n, frac.train, tao = 26.5, simulation, scenario)

Arguments

J

number of simulated data sets
n

number of sample size
frac.train

percentange train data set. A number between 0 and 1.
tao

time point of interest
simulation

study indicator. It takes on 1 and 2.
scenario

scenario indicator. It takes on 1, 2, 3 and 4.

Value

A list with the following elements:

train.data

simulated train data set

test.data

simulated test data set

and the true AUC

Examples

DT=datagenPaper(J = 1 , n = 1250, frac.train = 0.8, simulation=1, scenario=4)