ENMnull class — ENMnull-class • ENMeval

An S4 class that contains the ENMnulls results.

Usage

# S4 method for class 'ENMnull'
show(object)

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)