prob_metrics_sf

average_precision.sf

brier_class.sf

classification_cost.sf

gain_capture.sf

mn_log_loss.sf

pr_auc.sf

roc_auc.sf

roc_aunp.sf

roc_aunu.sf

<code>tidysdm</code> provides specialised metrics for SDMs, which have their own help
pages(<code>boyce_cont()</code>, <code>kap_max()</code>, and <code>tss_max()</code>). Additionally, it also
provides methods to handle <a href="https://r-spatial.github.io/sf/reference/sf.html">sf::sf</a> objects for the following standard
<code>yardstick</code> metrics:
<code><a href="https://yardstick.tidymodels.org/reference/average_precision.html">yardstick::average_precision()</a></code>
<code>yardstick::brier_class()</code>
<code><a href="https://yardstick.tidymodels.org/reference/classification_cost.html">yardstick::classification_cost()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/gain_capture.html">yardstick::gain_capture()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/mn_log_loss.html">yardstick::mn_log_loss()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/pr_auc.html">yardstick::pr_auc()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/roc_auc.html">yardstick::roc_auc()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/roc_aunp.html">yardstick::roc_aunp()</a></code>
<code><a href="https://yardstick.tidymodels.org/reference/roc_aunu.html">yardstick::roc_aunu()</a></code>

Fit species distribution models (SDMs) using the 'tidymodels' framework,
which provides a standardised interface to define models and process their
outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects,
models and metrics specific to SDMs,
as well as a number of specialised functions to process occurrences
for contemporary and palaeo datasets. The full
functionalities of the package are described
in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.

Andrea Manica

tidysdm

Species Distribution Models with Tidymodels

Michela Leonardi

Margherita Colucci

Andrea Vittorio Pozzi

Eleanor M.L. Scerri

Ben Tupper

prob_metrics_sf function

<dl><dt>data</dt>
<dd>an <a href="https://r-spatial.github.io/sf/reference/sf.html">sf::sf</a> object</dd>
<dt>...</dt>
<dd>any other parameters to pass to the <code>data.frame</code> version of the
metric. See the specific man page for the metric of interest.</dd></dl>

Arguments

<code>tidysdm</code> provides specialised metrics for SDMs, which have their own help
pages(<code>boyce_cont()</code>, <code>kap_max()</code>, and <code>tss_max()</code>). Additionally, it also
provides methods to handle <a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf</a> objects for the following standard
<code>yardstick</code> metrics:
<code><a href='https://yardstick.tidymodels.org/reference/average_precision.html'>yardstick::average_precision()</a></code>
<code>yardstick::brier_class()</code>
<code><a href='https://yardstick.tidymodels.org/reference/classification_cost.html'>yardstick::classification_cost()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/gain_capture.html'>yardstick::gain_capture()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/mn_log_loss.html'>yardstick::mn_log_loss()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/pr_auc.html'>yardstick::pr_auc()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/roc_auc.html'>yardstick::roc_auc()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/roc_aunp.html'>yardstick::roc_aunp()</a></code>
<code><a href='https://yardstick.tidymodels.org/reference/roc_aunu.html'>yardstick::roc_aunu()</a></code>

Probability metrics for sf objects — prob_metrics_sf

<dl>

<dt>data</dt>
<dd>an <a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf</a> object</dd>


<dt>...</dt>
<dd>any other parameters to pass to the <code>data.frame</code> version of the
metric. See the specific man page for the metric of interest.</dd>

</dl>

Probability metrics for <code>sf</code> objects

prob_metrics_sf: Probability metrics for `sf` objects

Description

Usage

Value

Arguments

Details