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speckle

Bioc current

Statistical methods for analysing single cell RNA-seq data

v1.12.0 · software · GPL-3

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

The speckle package contains functions for the analysis of single cell RNA-seq data. The speckle package currently contains functions to analyse differences in cell type proportions. There are also functions to estimate the parameters of the Beta distribution based on a given counts matrix, and a function to normalise a counts matrix to the median library size. There are plotting functions to visualise cell type proportions and the mean-variance relationship in cell type proportions and counts. As our research into specialised analyses of single cell data continues we anticipate that the package will be updated with new functions.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

15 13 exported

Complexity

3.1 avg / 9 max

Call network

15 nodes / 12 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

3,337

Files

64

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,265 (37.9%)Tests 386 (11.6%)Docs 998 (29.9%)Vignettes 688 (20.6%)

API

Exported functions

13

Internal functions

2

Testing & CI

Has tests

Yes

Test-to-code ratio

0.51

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

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

4.2.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.17: 3,337 LOCv3.18: 3,337 LOCv3.19: 3,337 LOCv3.20: 3,337 LOCv3.21: 3,337 LOCv3.22: 3,337 LOCv3.23: 3,337 LOC

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

Documentation

Documentation
READMEYes · 417 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
6%

Topics

People

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