select_best | R Documentation |
Helper funtion to select best parameter settings
select_best(calibration_table, selection_criteria = "S_OR_P",
level = 95, error = 5)
calibration_table |
data.frame of results from model calibration in ellipsenm. |
selection_criteria |
(character) set of criteria to select best models, options are: "S_OR" (statistical significance and low omission) and "S_OR_P" (statistical significance, low omission, and low prevalence). See details. Default = "Sig_OR_Prev". |
level |
(numeric) the confidence level of a pairwise confidence region for the ellipsoid, expresed as percentage. Default = 95. |
error |
(numeric) value from 0 to 100 to represent the percentage of potential error (E) that the data could have due to any source of uncertainty. Default = 5. |
data.frame with the selected parameter settings according to the argument
selection_criteria
.
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