prop.belowthreshold: Proportions of cases and controls below a given threshold of...
In pmckeigue/wevid: Weight of evidence for quantifying performance of a binary classifier
Description
Usage
Arguments
Value
Examples
Description
Proportions of cases and controls below a given threshold of W (natural logs)
Usage
1
prop.belowthreshold(densities, w.threshold)
Arguments
densities
Adjusted densities computed by
Wdensities.fromraw.
w.threshold
Threshold value of weight of evidence (natural logs).
Value
numeric vector of length 2: proportions of controls and cases with weight
of evidence below the given threshold.
Examples
1
2
3
4
5
6
data("cleveland") # load example dataset
W <- with(cleveland, weightsofevidence(posterior.p, prior.p))
densities.unadj <- Wdensities.unadjusted(cleveland$y, W)
densities.adj <- Wdensities.fromraw(densities.unadj)
w.threshold <- log(4) # threshold Bayes factor of 4
prop.belowthreshold(densities.adj, w.threshold)
pmckeigue/wevid documentation built on May 29, 2019, 5:41 a.m.
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Description Usage Arguments Value Examples
Description
Proportions of cases and controls below a given threshold of W (natural logs)
Usage
1 | prop.belowthreshold(densities, w.threshold)
|
Arguments
densities |
Adjusted densities computed by
|
w.threshold |
Threshold value of weight of evidence (natural logs). |
Value
numeric vector of length 2: proportions of controls and cases with weight of evidence below the given threshold.
Examples
1 2 3 4 5 6 | data("cleveland") # load example dataset
W <- with(cleveland, weightsofevidence(posterior.p, prior.p))
densities.unadj <- Wdensities.unadjusted(cleveland$y, W)
densities.adj <- Wdensities.fromraw(densities.unadj)
w.threshold <- log(4) # threshold Bayes factor of 4
prop.belowthreshold(densities.adj, w.threshold)
|
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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