gen_wrap_sl_lib

The function generates customized wrapper in order to have access to the
external libraries hyperparameters.

internal

Provides a framework for estimating causal effects of a continuous
exposure using observational data, and implementing matching and weighting
on the generalized propensity score.
Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022.
Matching on generalized propensity scores with continuous exposures. Journal
of the American Statistical Association, pp.1-29.

Naeem Khoshnevis

CausalGPS

Matching on Generalized Propensity Scores with Continuous
Exposures

Xiao Wu

Danielle Braun

gen_wrap_sl_lib function

<dl><dt>lib_name</dt>
<dd>The library name (e.g., <code>m_xgboost</code>).</dd>
<dt>params</dt>
<dd>A list that includes key-values for different parameters. Only
relevant parameters will be extracted, others will be ignored.</dd>
<dt>nthread</dt>
<dd>Number of threads available to be used by external libraries
(in case they can use it).</dd></dl>

Arguments

Generate customized wrapper for SuperLearner libraries — gen_wrap_sl_lib

<dl>

<dt>lib_name</dt>
<dd>The library name (e.g., <code>m_xgboost</code>).</dd>


<dt>params</dt>
<dd>A list that includes key-values for different parameters. Only
relevant parameters will be extracted, others will be ignored.</dd>


<dt>nthread</dt>
<dd>Number of threads available to be used by external libraries
(in case they can use it).</dd>

</dl>

gen_wrap_sl_lib: Generate customized wrapper for SuperLearner libraries

Description

Usage

Value

Arguments