HIPPO
Bioc currentHeterogeneity-Induced Pre-Processing tOol
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
For scRNA-seq data, it selects features and clusters the cells simultaneously for single-cell UMI data. It has a novel feature selection method using the zero inflation instead of gene variance, and computationally faster than other existing methods since it only relies on PCA+Kmeans rather than graph-clustering or consensus clustering.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
22 17 exported
Complexity
3.1 avg / 15 max
Call network
22 nodes / 13 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
1,604
Files
33
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
18
Internal functions
5
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
Yes
CI type
["travis"]
PR gated
No
Docs
Roxygen coverage
94.4%
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
3.6.0
System requirements
–
C++ standard
–
License
GPL (>=2)
License flags
not SPDX, not OSI
History
Versions
13
First release
2020-04-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Tae Kim author maintainer
- Mengjie Chen author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("HIPPO")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.