optimal_py1: Search for optimal py1 values using roc_curves
In RomeroLab/pudms: Positive-Unlabeled Learning for the Analysis of Deep Mutational Scanning Datasets
Description
Search for optimal py1 values using roc_curves
Usage
1
optimal_py1(roc_curves, py1, tol = NULL, verbose = T)
Arguments
roc_curves
a list containing roc_curves of length(py1)
py1
a sequence of py1
tol
NULL or a numerical number to specify a margin in determining whether the estimated ROC curve is smaller than the maximal curve. If NULL, 1sd from K-fold ROC curves at each value is used.
verbose
a logical value
RomeroLab/pudms documentation built on Jan. 2, 2021, 5:10 a.m.
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.
Description
Search for optimal py1 values using roc_curves
Usage
1 | optimal_py1(roc_curves, py1, tol = NULL, verbose = T)
|
Arguments
roc_curves |
a list containing roc_curves of length(py1) |
py1 |
a sequence of py1 |
tol |
NULL or a numerical number to specify a margin in determining whether the estimated ROC curve is smaller than the maximal curve. If NULL, 1sd from K-fold ROC curves at each value is used. |
verbose |
a logical 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.