teffect: Treatment Effect Estimators using BLOP
In gvegayon/blopmatch: Matching Estimator based on a Bilevel Optimization Problem

Description Usage Arguments Author(s)

View source: R/methods.r

Treatment Effect Estimators using BLOP

teffect(X, y, effect = "ate", ...)

## Default S3 method:
teffect(X, y, Treat, effect = "ate", ...)

## S3 method for class 'blopmatch_match'
teffect(x, y, effect = "ate", tol = 1e-20,
  X = NULL, ...)

`X`	Numeric matrix of size nK*.
`y`	Numeric vector of length n. Dependent variable.
`Treat`	Integer vector of size n. Group indicator. Can be either -1 (no group), 0 (control) or 1 (treatment).
`x`	An object of class `blopmatch_match`