PresenceAbsence (version 1.1.9)

specificity: Specificity

Description

specificity calculates the specificity and (optionally) the associated standard deviation from a confusion matrix.

Usage

specificity(CMX, st.dev = TRUE)

Arguments

CMX

a confusion matrix - output from cmx

st.dev

a logical indicating whether the associated standard deviation should be calculated

Value

if st.dev = FALSE, returns: specificity.

if st.dev = TRUE, returns a dataframe where:

[1,1] specificity

Details

Specificity is the proportion of observed negatives correctly predicted, and reflects a model's ability to predict an absence given that a species actually does not occur at a location.

See Also

cmx, pcc, sensitivity, Kappa, auc

Examples

Run this code
# NOT RUN {
data(SIM3DATA)

specificity(cmx(SIM3DATA))

specificity(cmx(SIM3DATA),st.dev=FALSE)
# }

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