data.preprocess: A pre-processing function

In syhyunpark/csim: Constrained single index models (CSIM)

Description

A pre-processing function that can be used to construct a data frame consist of a set of the observations in the order of the treatment indicators; i.e., (y, Tr, X) with Tr=1 come first, (y, Tr, X) with Tr=2 come second, ..., and (y, Tr, X) with Tr=K come last.

Usage

data.preprocess(y = NULL, Tr, Xsc = NULL, X1D = NULL, optTr = NULL)

Arguments

y	treatment outcomes, a n-by-1 vector
Tr	treatment indicators, a n-by-1 vector; each element represents one of the K available treatment options
Xsc	pre-treatment covarates, a n-by-p matrix
X1D	a list of q number of 1 dimensional functional covariates, in which each of the functional covariates is evalauted on some grid points
optTr	a n-by-1 vector; each element represents the optimal treatment option for the given covariate information; only available for simulated data.

Value

y	a n-by-1 vector of the re-ordered treatment outcomes
Tr	a n-by-1 vector of the re-ordered treatment indicators
Xsc	a n-by-p matrix of the re-ordered pretreatment covarate matrix
X1D	a list of q number of the re-ordered 1 dimensional functional covariates, in which each of the functional covariates is evalauted on some grid points

Author(s)

Park, Petkova, Tarpey, Ogden

See Also

fit.csim

syhyunpark/csim documentation built on May 31, 2019, 4:56 a.m.