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Xeva

Bioc current

Analysis of patient-derived xenograft (PDX) data

v1.28.0 · software · GPL-3

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

The Xeva package provides efficient and powerful functions for patient-drived xenograft (PDX) based pharmacogenomic data analysis. This package contains a set of functions to perform analysis of patient-derived xenograft data. This package was developed by the BHKLab, for further information please see our documentation.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

101 22 exported

Complexity

4.5 avg / 20 max

Call network

101 nodes / 94 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

6,264

Files

86

Compiled share

0%

Has compiled src

No

Language breakdown

R 4,464 (71.3%)Docs 1,425 (22.7%)Vignettes 375 (6%)

API

Exported functions

22

Internal functions

75

Recent export changes

v3.9+22 ABC, AUC, TGI +19 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.9: 6,127 LOCv3.10: 6,127 LOCv3.11: 6,127 LOCv3.12: 6,127 LOCv3.13: 6,127 LOCv3.14: 6,127 LOCv3.15: 6,127 LOCv3.16: 6,127 LOCv3.17: 6,276 LOCv3.18: 6,276 LOCv3.19: 6,276 LOCv3.20: 6,264 LOCv3.21: 6,264 LOCv3.22: 6,264 LOCv3.23: 6,264 LOC

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

Documentation

Documentation
READMEYes · 394 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Topics

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