Skip to content

nipalsMCIA

Bioc current

Multiple Co-Inertia Analysis via the NIPALS Method

v1.10.0 · Package record · software · GPL-3

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

Computes Multiple Co-Inertia Analysis (MCIA), a dimensionality reduction (jDR) algorithm, for a multi-block dataset using a modification to the Nonlinear Iterative Partial Least Squares method (NIPALS) proposed in (Hanafi et. al, 2010). Allows multiple options for row- and table-level preprocessing, and speeds up computation of variance explained. Vignettes detail application to bulk- and single cell- multi-omics studies.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

28 28 exported

Complexity

4.6 avg / 29 max

Call network

28 nodes / 11 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

5,245

Files

94

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,900 (36.2%)Tests 425 (8.1%)Docs 1,131 (21.6%)Vignettes 1,789 (34.1%)

API

Exported functions

28

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.22

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

7.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2023-10-24

Latest release

2026-04-28

Avg cadence

171 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.18: 5,043 LOCv3.19: 5,224 LOCv3.20: 5,249 LOCv3.21: 5,249 LOCv3.22: 5,245 LOCv3.23: 5,245 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 301 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
32 (1 internal)includes a package overview page
Examples that run
100%26 run in a plain check
Exported functions with examples
93%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
6%

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/muunraker/nipalsmcia on 2026-10-22.

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
data_blockslist3 elementsNo other package
metadata_NCI60data.frame21 × 1No other package

All of nipalsMCIA's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("nipalsMCIA")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btaf015.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nipalsMCIA version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy