DESCRIPTION

Package: crossfit
Type: Package
Title: Double/Debiased Machine Learning
Version: 0.1.0
Author: Thomas Covert, Yixin Sun, and Richard Sweeney
Maintenance: ysun9@chicagobooth.edu
Description: An implementation of double/debiased machine learning method 
        (Chernozhukov et al.2018)to remove regularization bias and 
        overfitting in estimating parameters of interest.This method has two 
        critical contributions: 
        1. The use of cross-fitting to efficiently split the sample. 
        2. Identifying parameters using Neyman-orthogonal moments, which are 
        less sensitive to errors in estimating nuisance parameters. 
        Here, we introduce select machine learning techniques that 
        can be applied for causal inference in this framework.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: 
    magrittr,
    tibble,
    purrr,
    stats,
    furrr,
    future,
    dplyr,
    stringr,
    Formula,
    modelr,
    grf