auc_vector: Compute AUC values ala presence-only data
In BigelowLab/dismotools: dismotools
auc_vector R Documentation
Compute AUC values ala presence-only data
Description
Compute AUC values ala presence-only data
Usage
auc_vector(f, v, thr = seq(from = 1, to = 0, by = -0.001), method = "fast")
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
method
character, if 'fast' (the default) use the fast implementation
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 | R Documentation |
Compute AUC values ala presence-only data
Description
Compute AUC values ala presence-only data
Usage
auc_vector(f, v, thr = seq(from = 1, to = 0, by = -0.001), method = "fast")
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 |
method |
character, if 'fast' (the default) use the fast implementation |
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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