auc_vector_fast: Compute AUC values ala presence-only data using a fast...
In BigelowLab/dismotools: dismotools
auc_vector_fast R Documentation
Compute AUC values ala presence-only data using a fast algorithm.
Description
This function gains speed using Rfast::Sort() and base::findInterval()
Usage
auc_vector_fast(f, v, thr = seq(from = 1, to = 0, by = -0.001))
Arguments
f
a vector of forecasted ranked suitability values, NaNs and NAs will be removed
v
a vector of forecasted values where there are presences, NaNs and NAs will be removed
thr
a vector of threshold values
Value
a list of
fpa, a vector of fpa (fractional predicted area)
sensitive, a vector of sensitivity (1-omission rate)
area, AUC
BigelowLab/dismotools documentation built on Jan. 4, 2023, 11:24 a.m.
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| auc_vector_fast | R Documentation |
Compute AUC values ala presence-only data using a fast algorithm.
Description
This function gains speed using Rfast::Sort() and base::findInterval()
Usage
auc_vector_fast(f, v, thr = seq(from = 1, to = 0, by = -0.001))
Arguments
f |
a vector of forecasted ranked suitability values, NaNs and NAs will be removed |
v |
a vector of forecasted values where there are presences, NaNs and NAs will be removed |
thr |
a vector of threshold values |
Value
a list of
fpa, a vector of fpa (fractional predicted area)
sensitive, a vector of sensitivity (1-omission rate)
area, AUC
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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