break_up_matrix_term

formula

<p>The original data frame with a matrix as predictor.</p>

data

<p>Sometimes there can be terms in a formula that refer to a matrix instead of a
single predictor. Because we can handle search_terms of predictors, this
function breaks the matrix term into individual predictors to handle
separately, as that is probably the intention of the user.</p>


Performs projection predictive feature selection for generalized linear
models and generalized linear and additive multilevel models
(see, Piironen, Paasiniemi and Vehtari, 2020, <https://projecteuclid.org/euclid.ejs/1589335310>,
Catalina, B<c3><bc>rkner and Vehtari, 2020, <arXiv:2010.06994>).
The package is compatible with the 'rstanarm' and 'brms' packages, but other
reference models can also be used. See the package vignette for more
information and examples.

Alejandro Catalina

projpred

Projection Predictive Feature Selection

Juho Piironen

Markus Paasiniemi

Aki Vehtari

Jonah Gabry

Marco Colombo

Paul-Christian B<c3><bc>rkner

break_up_matrix_term function

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

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

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

Description

Usage

Arguments

Value