PROPER
Bioc currentPROspective Power Evaluation for RNAseq
Release Lineage
Entered 3.1 · Apr 17, 2015
Current · Requires R 4.6
Description
This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
34 15 exported
Complexity
3.1 avg / 14 max
Call network
34 nodes / 32 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
2,296
Files
35
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
15
Internal functions
19
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
0%
Unsafe pattern score
6
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.3
System requirements
–
C++ standard
–
License
GPL
License flags
not SPDX, not OSI
History
Versions
23
First release
2015-04-16
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 10
- Examples that run
- 33%3 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 86%
- Return-value docs
- 89%
- Help pages citing references
- 0%
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
Topics
Depended on by (1)
Bioconductor (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("PROPER")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/bioinformatics/btu640.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.