pnp_none

This function is used internally to transform presence-background models into presence-only models.

internal

Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Drake and Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015) <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>.

Brian S. Maitner

S4DM

Small Sample Size Species Distribution Modeling

Robert L. Richards

Ben S. Carlson

John M. Drake

Cory Merow

pnp_none function

<dl><dt>method</dt>
<dd>one of either "fit" or "predict"</dd>
<dt>object</dt>
<dd>fitted object returned by a pnp_... function. Only needed when method = "predict"</dd></dl>

Arguments

Internal function for returning empty pnp_estimate class models — pnp_none

<dl>

<dt>method</dt>
<dd>one of either "fit" or "predict"</dd>


<dt>object</dt>
<dd>fitted object returned by a pnp_... function. Only needed when method = "predict"</dd>

</dl>

pnp_none: Internal function for returning empty pnp_estimate class models

Description

Usage

Arguments