predcurve: Computes the predictiveness curve from a vector of estimated...
In sachsmc/predcurver: Predictiveness Curve class and methods
Description
Usage
Arguments
Value
View source: R/predcurver-predcurve.R
Description
The predictiveness curve is defined as the distribution
of the risk, as a function of the risk percentiles.
Usage
1
Arguments
risk
A vector of risk values which must be in (0,
1)
Value
output A object of class "predcurve", which is a data
frame that contains two columns: the risk percentiles,
and the risk values
sachsmc/predcurver documentation built on May 29, 2019, 12:44 p.m.
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Description Usage Arguments Value
View source: R/predcurver-predcurve.R
Description
The predictiveness curve is defined as the distribution of the risk, as a function of the risk percentiles.
Usage
1 |
Arguments
risk |
A vector of risk values which must be in (0, 1) |
Value
output A object of class "predcurve", which is a data frame that contains two columns: the risk percentiles, and the risk values
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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