recalibrate.p: Recalibrate posterior probabilities
In mcol/wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence
recalibrate.p R Documentation
Recalibrate posterior probabilities
Description
Transforms posterior probabilities to logits, fits a logistic regression model
and returns the predictive probabilities from this model.
Usage
recalibrate.p(y, posterior.p)
Arguments
y
Binary outcome label (0 for controls, 1 for cases).
posterior.p
Vector of posterior probabilities.
Value
Recalibrated posterior probabilities.
mcol/wevid documentation built on March 22, 2022, 12:07 a.m.
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| recalibrate.p | R Documentation |
Recalibrate posterior probabilities
Description
Transforms posterior probabilities to logits, fits a logistic regression model and returns the predictive probabilities from this model.
Usage
recalibrate.p(y, posterior.p)
Arguments
y |
Binary outcome label (0 for controls, 1 for cases). |
posterior.p |
Vector of posterior probabilities. |
Value
Recalibrated posterior probabilities.
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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