print.ffs

show.ffs

Generic print function for objects of class <code>ffs</code>.

Supporting functionality to run 'caret' with spatial or spatial-temporal data.
'caret' is a frequently used package for model training and prediction using machine learning.
CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'.
It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate
the performance of spatial prediction models and allows for spatial variable selection to selects
suitable predictor variables in view to their contribution to the spatial model performance.
CAST further includes functionality to estimate the (spatial) area of applicability of prediction models.
Methods are described in
Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>;
Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>;
Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>;
Milà et al. (2022) <doi:10.1111/2041-210X.13851>;
Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>;
Linnenbrink et al. (2024) <doi:10.5194/gmd-17-5897-2024>;
Schumacher et al. (2025) <doi:10.5194/gmd-18-10185-2025>.
The package is described in detail in Meyer et al. (2026) <doi:10.1007/978-3-031-99665-8_11>.

Hanna Meyer

CAST

'caret' Applications for Spatial-Temporal Models

Carles Milà

Marvin Ludwig

Jan Linnenbrink

Fabian Schumacher

Philipp Otto

Chris Reudenbach

Thomas Nauss

Edzer Pebesma

Jakub Nowosad

Darius Görgen

print.ffs function

<dl><dt>x</dt>
<dd>An object of type ffs</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Print ffs objects — print.ffs

<dl>

<dt>x</dt>
<dd>An object of type ffs</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

Print ffs objects

print.ffs: Print ffs objects

Description

Usage

Arguments