summary.HK2_decomposition: 'summary' method for class 'HK2_decomposition'

In MCKnaus/causalDML: Causal Double Machine Learning

summary method for class HK2_decomposition

Description

summary method for class HK2_decomposition

Usage

## S3 method for class 'HK2_decomposition'
summary(
  HK2_decomposition,
  parameter = "adim",
  t_aggregate = c(2, 1),
  x_aggregate = c(3, 2)
)

Arguments

HK2_decomposition	Object of class HK2_decomposition.
parameter	Parameter to be collected. Either "adim" or "dim" for the respective decomposition or a subset of 1:14. Default "adim".
t_aggregate	Integer scalar of vector of length two specifying treatment aggregate to be collected. 1 is reserved for collection of all treaments. If single integer, level is extracted. Vector of length two like c(3,2) provides aggregate 2 minus aggregate 1.
x_aggregate	Integer scalar of vector of length two specifying covariate aggregate to be collected. If single integer, level is extracted. 1 is reserved for the unconditional version. vector of length two like c(3,2) provides aggregate 2 minus aggregate 1.

Value

Matrix containing point estimates and standard errors of selected parameters.

MCKnaus/causalDML documentation built on June 11, 2025, 12:30 a.m.