.approx_match

internal

Robust penalized (adaptive) elastic net S and M estimators for
linear regression. The methods are proposed in
Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E.
(2019) <https://projecteuclid.org/euclid.aoas/1574910036>.
The package implements the extensions and algorithms described in
Kepplinger, D. (2020) <doi:10.14288/1.0392915>.

David Kepplinger

pense

Penalized Elastic Net S/MM-Estimator of Regression

Matías Salibián-Barrera

Gabriela Cohen Freue

.approx_match function

<dl><dt>x, table</dt>
<dd>see <a href="/link/base%3A%3Amatch?package=pense&version=2.2.2" data-mini-rdoc="pense::base::match">base::match</a> for details.</dd>
<dt>eps</dt>
<dd>numerical tolerance for matching.</dd></dl>

Arguments

Approximate Value Matching — .approx_match

<dl>

<dt>x, table</dt>
<dd>see <a href='https://rdrr.io/r/base/match.html'>base::match</a> for details.</dd>


<dt>eps</dt>
<dd>numerical tolerance for matching.</dd>

</dl>

.approx_match: Approximate Value Matching

Description

Usage

Value

Arguments