ENMnull class

An S4 class that contains the ENMnulls results.

Usage

# S4 method for ENMnull
show(object)

Arguments

object

ENMnull object

Slots

null.algorithm

character: algorithm used

null.mod.settings

data frame: model settings used

null.partition.method

character: partition method used

null.partition.settings

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

null.doClamp

logical: whether to clamp model predictions or not

null.other.settings

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

null.no.iter

numeric: number of null model iterations

null.results

data frame: evaluation summary statistics for null models

null.results.partitions

data frame: evaluation k-fold statistics for null models

null.emp.results

data frame: evaluation summary statistics for the empirical model, means for all null models, z-scores, and p-values

emp.occs

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

emp.occs.grp

vector: partition groups for occurrence points (empirical model)

emp.bg

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

emp.bg.grp

vector: partition groups for background points (empirical model)

Author

Jamie M. Kass, jamie.m.kass@gmail.com, Corentin Bohl, corentinbohl@gmail.com