leaveOneOut

<p>Object returned by function kfold or list of data frames</p>

kf.data

<p>Given a data frame splitted in k subsets, this function binds 
subsets for training data and leaves one subset out for test k times, leaving 
out a different subset each fold.</p>

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

leaveOneOut: Leave out a different subset for test each fold

Description

Usage

Arguments

Value

Details