get_full_type

Obtain the type of VIM to estimate using partial matching

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

get_full_type function

<dl><dt>type</dt>
<dd>the partial string indicating the type of VIM</dd></dl>

Arguments

Obtain the type of VIM to estimate using partial matching — get_full_type

<dl>

<dt>type</dt>
<dd>the partial string indicating the type of VIM</dd>

</dl>

get_full_type: Obtain the type of VIM to estimate using partial matching

Description

Usage

Value

Arguments