Linnorm
Bioc currentLinear model and normality based normalization and transformation method (Linnorm)
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
Description
Linnorm is an algorithm for normalizing and transforming RNA-seq, single cell RNA-seq, ChIP-seq count data or any large scale count data. It has been independently reviewed by Tian et al. on Nature Methods (https://doi.org/10.1038/s41592-019-0425-8). Linnorm can work with raw count, CPM, RPKM, FPKM and TPM.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
90 13 exported
Complexity
9.3 avg / 65 max
Call network
90 nodes / 98 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
7,134
Files
49
Compiled share
19.7%
Has compiled src
Yes
Language breakdown
API
Exported functions
13
Internal functions
48
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.10
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
9.1%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
21
First release
2016-08-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
15
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 19%
Topics
Depended on by (1)
Bioconductor (1)
People
- Ken Shun Hang Yip author maintainer