HK2_result_collector: Tailored collection of parameters produced by...
In MCKnaus/causalDML: Causal Double Machine Learning

HK2_result_collector

R Documentation

Tailored collection of parameters produced by `HK2_decomposition`.

Tailored collection of parameters produced by HK2_decomposition.

HK2_result_collector(
  HK2_decomposition,
  parameter = "adim",
  t_aggregate = c(3, 2),
  x_aggregate = c(3, 2)
)

`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.