conf_matrix_df

Create the confusion matrix for multiple thresholds, using to optimise tss

internal

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

conf_matrix_df function

<dl><dt>presences</dt>
<dd>Probabilities for presences</dd>
<dt>absences</dt>
<dd>probabilities for absences</dd></dl>

Arguments

Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df

<dl>

<dt>presences</dt>
<dd>Probabilities for presences</dd>


<dt>absences</dt>
<dd>probabilities for absences</dd>

</dl>

conf_matrix_df: Make a confusion matrix dataframe for multiple thresholds

Description

Usage

Value

Arguments