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appreci8R

Bioc current

appreci8R: an R/Bioconductor package for filtering SNVs and short indels with high sensitivity and high PPV

v1.30.0 · software · LGPL-3

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

The appreci8R is an R version of our appreci8-algorithm - A Pipeline for PREcise variant Calling Integrating 8 tools. Variant calling results of our standard appreci8-tools (GATK, Platypus, VarScan, FreeBayes, LoFreq, SNVer, samtools and VarDict), as well as up to 5 additional tools is combined, evaluated and filtered.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

18 0 exported

Complexity

133.8 avg / 1721 max

Call network

18 nodes / 27 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

13,476

Files

26

Compiled share

0%

Has compiled src

No

Language breakdown

R 12,052 (89.4%)Docs 927 (6.9%)Vignettes 497 (3.7%)

API

Exported functions

8

Internal functions

18

Recent export changes

v3.8+8 appreci8Rshiny, filterTarget, normalize +5 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

0%

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

LGPL-3

License flags

SPDX valid, OSI approved

History

Versions

16

First release

2018-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.8: 13,578 LOCv3.9: 13,578 LOCv3.10: 13,578 LOCv3.11: 13,472 LOCv3.12: 13,472 LOCv3.13: 13,472 LOCv3.14: 13,472 LOCv3.15: 13,472 LOCv3.16: 13,472 LOCv3.17: 13,472 LOCv3.18: 13,476 LOCv3.19: 13,476 LOCv3.20: 13,476 LOCv3.21: 13,476 LOCv3.22: 13,476 LOCv3.23: 13,476 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
89%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
33%

Topics

People

Sarah Sandmann

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("appreci8R")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for appreci8R version 1.30.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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