Welcome!
ROC Picker is a software package for propagating statistical and systematic uncertainties in a biomedical analysis.
For detailed information and examples, please see the documentation.
The source is in the docs/ folder, and you can download the output
(latest version from the main branch, compiled by Github Actions) from
this link.
To install ROC Picker, clone the repository, enter its folder, and do
pip install .
Here is a simple example:
from roc_picker.discrete import DiscreteROC
responders = [1, 1, 2, 3, 9, 10]
nonresponders = [2, 3, 3, 4, 6, 8, 9, 10, 10, 10, 10, 11, 12, 13]
DiscreteROC(
responders=responders,
nonresponders=nonresponders,
).plot_roc(
npoints=100,
yupperlim=20,
#if you want to save the output plots
rocfilename="roc.pdf",
scanfilename="auc_scan.pdf",
rocerrorsfilename="roc_errors.pdf",
#if you're running in a jupyter notebook or similar, and want to see the plots
show=True,
)