summary.ddml_ate {ddml} | R Documentation |
Inference Methods for Treatment Effect Estimators.
Description
Inference methods for treatment effect estimators.
Usage
## S3 method for class 'ddml_ate'
summary(object, ...)
## S3 method for class 'ddml_att'
summary(object, ...)
## S3 method for class 'ddml_late'
summary(object, ...)
Arguments
object |
An object of class |
... |
Currently unused. |
Value
A matrix with inference results.
Examples
# Construct variables from the included Angrist & Evans (1998) data
y = AE98[, "worked"]
D = AE98[, "morekids"]
X = AE98[, c("age","agefst","black","hisp","othrace","educ")]
# Estimate the average treatment effect using a single base learner, ridge.
ate_fit <- ddml_ate(y, D, X,
learners = list(what = mdl_glmnet,
args = list(alpha = 0)),
sample_folds = 2,
silent = TRUE)
summary(ate_fit)
[Package ddml version 0.2.2 Index]