calc_mROC_stats: Calculates the absolute surface between the empirical and...
In resplab/predtools: Prediction Model Tools
calc_mROC_stats R Documentation
Calculates the absolute surface between the empirical and expected ROCs
Description
Calculates the absolute surface between the empirical and expected ROCs
Usage
calc_mROC_stats(y, p, ordered = FALSE, fast = TRUE)
Arguments
y
y vector of binary responses
p
p vector of predicted probabilities (same length as y)
ordered
defaults to false
fast
defaults to true
Value
Returns a list with the A (mean calibration statistic) and B (mROC/ROC equality statistic) as well as the direction of poential miscalibration (sign of the difference between the ctual and predicted mean risk)
resplab/predtools documentation built on July 2, 2023, 2:58 a.m.
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| calc_mROC_stats | R Documentation |
Calculates the absolute surface between the empirical and expected ROCs
Description
Calculates the absolute surface between the empirical and expected ROCs
Usage
calc_mROC_stats(y, p, ordered = FALSE, fast = TRUE)
Arguments
y |
y vector of binary responses |
p |
p vector of predicted probabilities (same length as y) |
ordered |
defaults to false |
fast |
defaults to true |
Value
Returns a list with the A (mean calibration statistic) and B (mROC/ROC equality statistic) as well as the direction of poential miscalibration (sign of the difference between the ctual and predicted mean risk)
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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