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topconfects

Bioc current

Top Confident Effect Sizes

v1.28.0 · software · LGPL-2.1 | file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

Rank results by confident effect sizes, while maintaining False Discovery Rate and False Coverage-statement Rate control. Topconfects is an alternative presentation of TREAT results with improved usability, eliminating p-values and instead providing confidence bounds. The main application is differential gene expression analysis, providing genes ranked in order of confident log2 fold change, but it can be applied to any collection of effect sizes with associated standard errors.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

16 9 exported

Complexity

4.4 avg / 16 max

Call network

16 nodes / 13 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

2,131

Files

34

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,086 (51%)Tests 124 (5.8%)Docs 540 (25.3%)Vignettes 381 (17.9%)

API

Exported functions

9

Internal functions

7

Recent export changes

v3.9+8 confects_plot, confects_plot_me, deseq2_confects +5 more
v3.21+1 confects_plot_me2

Testing & CI

Has tests

Yes

Test-to-code ratio

0.11

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

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

3.6.0

System requirements

C++ standard

License

LGPL-2.1 | file LICENSE

License flags

SPDX valid, not OSI

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

3

LOC over versions

v3.9: 1,758 LOCv3.10: 1,758 LOCv3.11: 1,758 LOCv3.12: 1,837 LOCv3.13: 1,837 LOCv3.14: 1,837 LOCv3.15: 1,837 LOCv3.16: 1,837 LOCv3.17: 1,837 LOCv3.18: 1,837 LOCv3.19: 1,859 LOCv3.20: 1,859 LOCv3.21: 2,131 LOCv3.22: 2,131 LOCv3.23: 2,131 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 61 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Depended on by (3)

Bioconductor (3)

People

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