ENMevaluation-class {ENMeval}R Documentation

ENMevaluation class

Description

An S4 class that contains the ENMevaluate results.

Usage

## S4 method for signature 'ENMevaluation'
show(object)

Arguments

object

ENMevaluation object

Slots

algorithm

character: algorithm used

tune.settings

data frame: settings that were tuned

partition.method

character: partition method used

partition.settings

list: partition settings used (i.e., value of *k* or aggregation factor)

other.settings

list: other modeling settings used (i.e., decisions about clamping, AUC diff calculation)

doClamp

boolean: whether or not clamping was used

clamp.directions

list: the clamping directions specified

results

data frame: evaluation summary statistics

results.partitions

data frame: evaluation k-fold statistics

models

list: model objects

variable.importance

list: variable importance data frames (when available)

predictions

RasterStack: model predictions

taxon.name

character: the name of the focal taxon (optional)

occs

data frame: occurrence coordinates and predictor variable values used for model training

occs.testing

data frame: when provided, the coordinates of the fully-withheld testing records

occs.grp

vector: partition groups for occurrence points

bg

data frame: background coordinates and predictor variable values used for model training

bg.grp

vector: partition groups for background points

overlap

list: matrices of pairwise niche overlap statistics

rmm

list: the rangeModelMetadata objects for each model

Author(s)

Jamie M. Kass, jamie.m.kass@gmail.com, Bob Muscarella, bob.muscarella@gmail.com


[Package ENMeval version 2.0.1 Index]