predict.bagged.causalMARS: Make predictions from a bag of fitted causal MARS models

In saberpowers/causalLearning: Methods for heterogeneous treatment effect estimation

Description

Make predictions from a bag of fitted causal MARS models

Usage

## S3 method for class 'bagged.causalMARS'
predict(object, newx, type = c("average", "all"),
  ...)

Arguments

object	a fitted bagged.causalMARS object
newx	matrix of new covariates for which estimated treatment effects are desired
type	type of prediction required: 'average' returns a vector of the averages of the bootstrap estimates. 'all' returns a matrix of all of the bootstrap estimates.
...	ignored

Value

a vector of estimated personalized treatment effects corresponding to the rows of newx

saberpowers/causalLearning documentation built on May 30, 2019, 8:26 a.m.