ENMevaluation.Rd
An S4 class that contains the ENMevaluate results.
# S4 method for ENMevaluation show(object)
object | ENMevaluation object |
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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
Jamie M. Kass, jamie.m.kass@gmail.com, Bob Muscarella, bob.muscarella@gmail.com