auci_mfc: Calculating AUCi using the method of forced choice as...
In aminadibi/RIC: Relative Impact Characteristic Curve
Description
Usage
Arguments
Value
Description
Calculating AUCi using the method of forced choice as explained in the text (Appendix I); loops over all possible pairs and estimates the expected benefit of treating only the one with higher biomarker value
Usage
1
auci_mfc(xb_data)
Arguments
xb_data
xb_data. Please refer to the paper
Value
the expected benefit of treating with higher biomarker value
aminadibi/RIC documentation built on Aug. 12, 2019, 4:13 a.m.
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Description Usage Arguments Value
Description
Calculating AUCi using the method of forced choice as explained in the text (Appendix I); loops over all possible pairs and estimates the expected benefit of treating only the one with higher biomarker value
Usage
1 | auci_mfc(xb_data)
|
Arguments
xb_data |
xb_data. Please refer to the paper |
Value
the expected benefit of treating with higher biomarker value
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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