process_arg_lst

Process argument list for Super Learner estimation of the EIF

Calculate point estimates of and valid confidence intervals for
nonparametric, algorithm-agnostic variable importance measures in high and low dimensions,
using flexible estimators of the underlying regression functions. For more information
about the methods, please see Williamson et al. (Biometrics, 2020),  Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).

Brian D. Williamson

vimp

Perform Inference on Algorithm-Agnostic Variable Importance

Jean Feng

Charlie Wolock

Noah Simon

Marco Carone

process_arg_lst function

<dl><dt>arg_lst</dt>
<dd>the list of arguments for Super Learner</dd></dl>

Arguments

Process argument list for Super Learner estimation of the EIF — process_arg_lst

<dl>

<dt>arg_lst</dt>
<dd>the list of arguments for Super Learner</dd>

</dl>

process_arg_lst: Process argument list for Super Learner estimation of the EIF

Description

Usage

Value

Arguments