remakeRandomData: remakeRandomData

In benkeser/haltmle.sim: Simulation study for HAL-TMLE

Description

Given an object output by makeRandomData, make another data set with the same distribution.

Usage

remakeRandomData(n, object, setA = NULL, setW = NULL, ...)

Arguments

n	A numeric sample size
object	An object of class "makeRandomData"
setA	Value(s) to set treatment variable to. If NULL then treatment is simulated according to observed data functions. If length(A)==1 then all values are set to this single value. Otherwise, if A is a vector of length n, A is set according to this vector.
setW	A matrix of proper size with values of covariates set to fixed levels. Useful for plotting methods. Assumes proper dimensions. If NULL simulates W according to distributions.

Value

An object of class "makeRandomData" with the following entries

W	A matrix of covariates
A	A vector of binary treatments
Y	A vector of continuously valued outcome
distW	A list containing relevant information needed to reproduce data sets
fnG0	A list of lists containing relevant information needed to reproduce data sets
fnQ0	A list of lists containing relevant information needed to reproduce data sets
distErrY	A list containing relevant information needed to reproduce data sets

benkeser/haltmle.sim documentation built on May 12, 2019, noon