roccv
1.2ROC for Cross Validation Results
Overview
Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models. Framework was built to handle genetic data, but works for any data.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 5.5 median / 10 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
4 4 exported
Complexity
6 avg / 10 max
Call network
4 nodes / 1 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
Author records are not tracked yet for this package.
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.2Latest
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.12017-11-09 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.02016-06-29
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-06-29
- Total releases
- 3 / 10 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 4.4 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet