kfold

Integer. Number of subsets. Default is 10

Data frame with the variable for stratification in the first column

Internal function for stratified random partitioning into subsets of presence/absence

internal

Tools for transferable species distribution modeling and pseudo-absence
data generation allowing the straightforward design of relatively complex experiments
with multiple factors affecting the uncertainty (variability) of SDM outputs
(pseudo-absence sample, climate projection, modeling algorithm, etc.), and the
quantification of the contribution of different factors to the final variability
following the method described in Deque el al. (2010) <doi:10.1007/s00382-011-1053-x>.
Multiple methods for pseudo-absence data generation can be applied, including the novel
Three-step method as described in Iturbide et al. (2015) <doi:10.1016/j.ecolmodel.2015.05.018>.
Additionally, a function for niche overlap calculation is provided, considering the metrics
described in Warren et al. (2008) <10.1111/j.1558-5646.2008.00482.x> and in
Pianka (1973) <10.1146/annurev.es.04.110173.000413>.

Maialen Iturbide

kfold: Stratified random partitioning into subsets

Description

Usage

Arguments

Value