double_ml_data_from_matrix: Wrapper for Double machine learning data-backend...

In DoubleML: Double Machine Learning in R

Wrapper for Double machine learning data-backend initialization from matrix.

Description

Initalization of DoubleMLData from matrix() objects.

Usage

double_ml_data_from_matrix(
  X = NULL,
  y,
  d,
  z = NULL,
  cluster_vars = NULL,
  data_class = "DoubleMLData",
  use_other_treat_as_covariate = TRUE
)

Arguments

X	(matrix()) Matrix of covariates.
y	(numeric()) Vector of outcome variable.
d	(matrix()) Matrix of treatment variables.
z	(matrix()) Matrix of instruments.
cluster_vars	(matrix()) Matrix of cluster variables.
data_class	(character(1)) Class of returned object. By default, an object of class DoubleMLData is returned. Setting data_class = "data.table" returns an object of class data.table.
use_other_treat_as_covariate	(logical(1)) Indicates whether in the multiple-treatment case the other treatment variables should be added as covariates. Default is TRUE.

Value

Creates a new instance of class DoubleMLData.

Examples

matrix_list = make_plr_CCDDHNR2018(return_type = "matrix")
obj_dml_data = double_ml_data_from_matrix(
  X = matrix_list$X,
  y = matrix_list$y,
  d = matrix_list$d)

DoubleML documentation built on June 22, 2024, 10:50 a.m.