scry
Bioc currentSmall-Count Analysis Methods for High-Dimensional Data
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
Many modern biological datasets consist of small counts that are not well fit by standard linear-Gaussian methods such as principal component analysis. This package provides implementations of count-based feature selection and dimension reduction algorithms. These methods can be used to facilitate unsupervised analysis of any high-dimensional data such as single-cell RNA-seq.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
11 0 exported
Complexity
2.5 avg / 7 max
Call network
11 nodes / 8 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
1,176
Files
17
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
11
Testing
Has tests
Yes
Test-to-code ratio
0.37
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
12.5%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
13
First release
2020-07-28
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
4
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/kstreet13/scry on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Topics
Depended on by (1)
Bioconductor (1)
People
- Kelly Street author maintainer
- Stephanie Hicks author
- Davide Risso author
- F. William Townes author copyright holder
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scry")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.