break_up_matrix_term

Sometimes there can be terms in a formula that refer to a matrix instead of a
single predictor. This function breaks up the matrix term into individual
predictors to handle separately, as that is probably the intention of the
user.

Performs projection predictive feature selection for generalized linear
models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>)
with or without multilevel or additive terms (Catalina, Bürkner, and
Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for
some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2025,
<doi:10.1007/s00180-024-01506-0>), and for many other regression models
(using the latent projection by Catalina, Bürkner, and Vehtari, 2021,
<doi:10.48550/arXiv.2109.04702>, which can also be applied to most of the
former models). The package is compatible with the 'rstanarm' and 'brms'
packages, but other reference models can also be used. See the vignettes and
the documentation for more information and examples.

Osvaldo Martin

projpred

Projection Predictive Feature Selection

Juho Piironen

Markus Paasiniemi

Alejandro Catalina

Frank Weber

Aki Vehtari

Jonah Gabry

Marco Colombo

Paul-Christian Bürkner

Hamada S. Badr

Brian Sullivan

Sölvi Rögnvaldsson

 The LME4 Authors

Yann McLatchie

Juho Timonen

break_up_matrix_term function

<dl><dt>formula</dt>
<dd>A <code><a href="/link/formula?package=projpred&version=2.9.1" data-mini-rdoc="projpred::formula">formula</a></code> for a valid model.</dd>
<dt>data</dt>
<dd>The original <code>data.frame</code> with a matrix as predictor.</dd></dl>

Arguments

Break up matrix terms — break_up_matrix_term

<dl>

<dt>formula</dt>
<dd>A <code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> for a valid model.</dd>


<dt>data</dt>
<dd>The original <code>data.frame</code> with a matrix as predictor.</dd>

</dl>

Break up matrix terms

break_up_matrix_term: Break up matrix terms

Description

Usage

Value

Arguments