podkat
Bioc currentPosition-Dependent Kernel Association Test
Release Lineage
Entered 3.1 · Apr 17, 2015
Current · Requires R 4.6
Description
This package provides an association test that is capable of dealing with very rare and even private variants. This is accomplished by a kernel-based approach that takes the positions of the variants into account. The test can be used for pre-processed matrix data, but also directly for variant data stored in VCF files. Association testing can be performed whole-genome, whole-exome, or restricted to pre-defined regions of interest. The test is complemented by tools for analyzing and visualizing the results.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
96 7 exported
Complexity
13.9 avg / 62 max
Call network
96 nodes / 100 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
13,088
Files
107
Compiled share
17.8%
Has compiled src
Yes
Language breakdown
API
Exported functions
7
Internal functions
43
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
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
25%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5.0
System requirements
1
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
23
First release
2015-06-16
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
4
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
- 64%
- Return-value docs
- 100%
- References docs
- 100%
Topics
People
- Ulrich Bodenhofer author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
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Cite the R Observatory
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