df_gaussian

datasets

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

df_gaussian function

A simulated regression dataset containing 100 observations.<dl class="dl-horizontal">
 <dt>y</dt><dd>target, real-valued.</dd>
 <dt>x</dt><dd>features, 20 in total. Mean and sd approximately 0 and 1.</dd>
</dl>

Format

Gaussian toy example. — df_gaussian

A simulated regression dataset containing 100 observations.<dl class='dl-horizontal'>
 <dt>y</dt><dd>target, real-valued.</dd>
 <dt>x</dt><dd>features, 20 in total. Mean and sd approximately 0 and 1.</dd>
</dl>

Gaussian toy example.

df_gaussian: Gaussian toy example.

Description

Usage

Arguments

Format