missRows
Bioc currentHandling Missing Individuals in Multi-Omics Data Integration
Release Lineage
Entered 3.7 · May 1, 2018
Current · Requires R 4.6
Description
The missRows package implements the MI-MFA method to deal with missing individuals ('biological units') in multi-omics data integration. The MI-MFA method generates multiple imputed datasets from a Multiple Factor Analysis model, then the yield results are combined in a single consensus solution. The package provides functions for estimating coordinates of individuals and variables, imputing missing individuals, and various diagnostic plots to inspect the pattern of missingness and visualize the uncertainty due to missing values.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
19 6 exported
Complexity
12.7 avg / 64 max
Call network
19 nodes / 14 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
3,245
Files
48
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
12
Internal functions
13
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.03
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
0%
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
3.5
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
17
First release
2018-04-30
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
- not tracked
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 24%
Topics
People
Gonzalez Ignacio