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cypress

Bioc current

Cell-Type-Specific Power Assessment

v1.8.0 · software · GPL-2 | GPL-3

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

CYPRESS is a cell-type-specific power tool. This package aims to perform power analysis for the cell-type-specific data. It calculates FDR, FDC, and power, under various study design parameters, including but not limited to sample size, and effect size. It takes the input of a SummarizeExperimental(SE) object with observed mixture data (feature by sample matrix), and the cell-type mixture proportions (sample by cell-type matrix). It can solve the cell-type mixture proportions from the reference free panel from TOAST and conduct tests to identify cell-type-specific differential expression (csDE) genes.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

43 0 exported

Complexity

4.1 avg / 17 max

Call network

43 nodes / 35 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

2,640

Files

50

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,670 (63.3%)Tests 1 (0%)Docs 724 (27.4%)Vignettes 245 (9.3%)

API

Exported functions

8

Internal functions

43

Recent export changes

v3.19+8 simFromData, simFromParam, quickPower +5 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

25%

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

4.4.0

System requirements

C++ standard

License

GPL-2 | GPL-3

License flags

SPDX valid, OSI approved

History

Versions

5

First release

2024-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.19: 2,701 LOCv3.20: 2,640 LOCv3.21: 2,640 LOCv3.22: 2,640 LOCv3.23: 2,640 LOC

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

Documentation

Documentation
READMEYes · 66 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

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