weightsofevidence: Calculate weights of evidence in natural log units
In pmckeigue/wevid: Weight of evidence for quantifying performance of a binary classifier
Description
Usage
Arguments
Value
Examples
Description
Calculate weights of evidence in natural log units
Usage
1
weightsofevidence(posterior.p, prior.p)
Arguments
posterior.p
Vector of posterior probabilities generated by using model
to predict on test data
prior.p
Prior probabilities on test data.
Value
The weight of evidence in nats for each observation.
Examples
1
2
3
4
5
data("cleveland") # load example dataset
W <- with(cleveland, weightsofevidence(posterior.p, prior.p))
densities.unadj <- Wdensities.unadjusted(cleveland$y, W)
densities.adj <- Wdensities.fromraw(densities.unadj)
plotWdists(densities.unadj, densities.adj)
pmckeigue/wevid documentation built on May 29, 2019, 5:41 a.m.
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Description Usage Arguments Value Examples
Description
Calculate weights of evidence in natural log units
Usage
1 | weightsofevidence(posterior.p, prior.p)
|
Arguments
posterior.p |
Vector of posterior probabilities generated by using model to predict on test data |
prior.p |
Prior probabilities on test data. |
Value
The weight of evidence in nats for each observation.
Examples
1 2 3 4 5 | data("cleveland") # load example dataset
W <- with(cleveland, weightsofevidence(posterior.p, prior.p))
densities.unadj <- Wdensities.unadjusted(cleveland$y, W)
densities.adj <- Wdensities.fromraw(densities.unadj)
plotWdists(densities.unadj, densities.adj)
|
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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