transformer: Data-driven Uniform transformer.

In lakerwsl/WUNT: Covariate balancing by uniform transformer

Description

This function constructs a data-driven Uniform transformer to transform the distribution of x to a Uniform distribution, and returns the transformed data for the original data x and a new data newx.

Usage

transformer(x,newx,marginal=FALSE,type='constant')

Arguments

x	A data matrix/vector to construct the Uniform transformer
newx	A new data matrix/vector to be transformed.
marginal	An indicator for whether the Uniform transformer is constructed based on the marginal distribution or joint distribution. By defaul, marginal is FALSE, i.e., the Uniform transformer is constructed based on the joint distribution of x.
type	Type of the smooth kernel function used to approximate the density of the covariates in the control group. type should be one of 'constant', 'linear' and 'quadratic'.

Value

xt	Transformed data of x with the constructed Uniform transformer.
newxt	Transformed data of newx with the constructed Uniform transformer.

Examples

res=transformer(rnorm(100),rnorm(100,mean=0.5))
res$xt
res$newxt

lakerwsl/WUNT documentation built on Sept. 13, 2020, 12:15 a.m.