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Methods for High-Dimensional Multi-View Learning

0packages depend
2.4Kdownloads / year
65.6%test coverage
13/13flavors OK

Overview

About

Methods for high-dimensional multi-view learning based on the multi-view stacking (MVS) framework. For technical details on the MVS and stacked penalized logistic regression (StaPLR) methods see Van Loon, Fokkema, Szabo, & De Rooij (2020) doi:10.1016/j.inffus.2020.03.007 and Van Loon et al. (2022) doi:10.3389/fnins.2022.830630.

Install

Health

CRAN checks
13OK
Slowest check: 6.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-12
Show 2 earlier changesHide 2 earlier changes
  • WARNING12 OK, 1 WARNING2026-05-11
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.0
READMEYes · 1,168 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
0%10 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,521 · ~7/day · ~202/mo
Daily download trend is not available in this view yet.
25730 days
68090 days
2.4K1 year
Compare downloads with other packages →
Also on76 r2u6 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing mvs adds 7 packages (4 with compiled code, 7.3 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.2 (2023)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.0Latest
    record
    2025-04-15 · current release · diff ↗ ·
    added 1 export
    RF
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0.0
    record
    2024-08-29 · diff ↗ ·
    added 2 exports
    MRM, mrm
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    record
    2023-08-15
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-08-15
Total releases
3 / 3 yrs
License
GPL-2 OSI
Download size
3.7 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("mvs")

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

It points to 10.1016/j.inffus.2020.03.007, 10.3389/fnins.2022.830630, 10.1016/j.inffus.2024.102524.

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 mvs version 2.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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