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a4Classif

Bioc current

Automated Affymetrix Array Analysis Classification Package

v1.60.0 · software · GPL-3

Release Lineage

Entered 2.8 · Apr 14, 2011

Current · Requires R 4.6

1.0 In 31 of 49 releases 3.23

Description

Functionalities for classification of Affymetrix microarray data, integrating within the Automated Affymetrix Array Analysis set of packages.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 4 exported

Complexity

2 avg / 8 max

Call network

10 nodes / 0 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

714

Files

17

Compiled share

0%

Has compiled src

No

Language breakdown

R 367 (51.4%)Docs 244 (34.2%)Vignettes 103 (14.4%)

API

Exported functions

4

Internal functions

6

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Return-value doc rate

100%

\dontrun example ratio

0%

Roxygen coverage

100%

Has pkgdown

No

NEWS present

No

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

31

First release

2011-06-08

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

Dep drift

5

LOC over versions

v2.8: 357 LOCv2.9: 364 LOCv2.10: 364 LOCv2.11: 364 LOCv2.12: 364 LOCv2.13: 364 LOCv2.14: 364 LOCv3.0: 364 LOCv3.1: 364 LOCv3.2: 364 LOCv3.3: 364 LOCv3.4: 364 LOCv3.5: 364 LOCv3.6: 364 LOCv3.7: 364 LOCv3.8: 364 LOCv3.9: 364 LOCv3.10: 364 LOCv3.11: 364 LOCv3.12: 714 LOCv3.13: 714 LOCv3.14: 714 LOCv3.15: 714 LOCv3.16: 714 LOCv3.17: 714 LOCv3.18: 714 LOCv3.19: 714 LOCv3.20: 714 LOCv3.21: 714 LOCv3.22: 714 LOCv3.23: 714 LOC

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

Topics

Depended on by (1)

Bioconductor (1)

a4

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