qcrlscR
0.1.3Quality Control–based Robust LOESS Signal Correction
Overview
An R implementation of quality control–based robust LOESS(local polynomial regression fitting) signal correction for metabolomics data analysis, described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011) doi:10.1038/nprot.2011.335. The optimisation of LOESS's span parameter using generalized cross-validation (GCV) is provided as an option. In addition to signal correction, 'qcrlscR' includes some utility functions like batch shifting and data filtering.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Repository
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Repository practices
Checks run against github.com/wanchanglin/qcrlscr on 2026-07-19.
No development-tooling practices detected in the upstream repository.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 6 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
8 7 exported
Complexity
3.1 avg / 6 max
Call network
8 nodes / 5 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.3Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-22
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 1.9 MB / 1 file
- Download size
- 2.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet