LPE
Bioc currentMethods for analyzing microarray data using Local Pooled Error (LPE) method
Release Lineage
Entered 1.4 · May 17, 2004
Current · Requires R 4.6
Description
This LPE library is used to do significance analysis of microarray data with small number of replicates. It uses resampling based FDR adjustment, and gives less conservative results than traditional 'BH' or 'BY' procedures. Data accepted is raw data in txt format from MAS4, MAS5 or dChip. Data can also be supplied after normalization. LPE library is primarily used for analyzing data between two conditions. To use it for paired data, see LPEP library. For using LPE in multiple conditions, use HEM library.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
16 16 exported
Complexity
5.2 avg / 14 max
Call network
16 nodes / 19 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
2,558
Files
40
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
16
Internal functions
0
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.10
System requirements
–
C++ standard
–
License
LGPL
License flags
not SPDX, not OSI
History
Versions
45
First release
2004-08-23
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
9
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 17
- Examples that run
- 100%16 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 88%
- Help pages citing references
- 100%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| Ley | data.frame | 12,488 × 7 | No other package |
Topics
Depended on by (2)
Suggested by (1)
People (from the free-text Author field)
- Nitin Jain
- Michael O'Connell
-
HyungJun Cho
Jae K. Lee. Includes R source code contributed by
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("LPE")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.