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mvdalab

1.7

Multivariate Data Analysis Laboratory

1packages depend
4.4Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Nelson Lee AfanadorFirst published 2016-04-098 releasesCRAN page ↗

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 4.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
9
Dependencies · direct
Check history
  • NOTE2026-07-30
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-29
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 57 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
98%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
49%

Downloads

4.4K
CRAN downloads in the past year
Rank #9,760 · ~12/day · ~369/mo
Daily download trend is not available in this view yet.
27430 days
98090 days
4.4K1 year
Compare downloads with other packages →
Also on104 r2u10 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (5)
no longer listed · 1.0 to 1.7
no longer listed · 1.0 to 1.1
no longer listed · 1.0 to 1.7
no longer listed · 1.2 to 1.7
no longer listed · 1.2 to 1.7
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.7Latest
    2022-10-06 · current release · diff ↗
  • unarchivedReturned to CRAN
    2022-10-06
  • archivedRemoved from CRAN
    2022-04-29
    requires archived package 'dummies'
  • R
    R 4.2.0 released · 2022-04-22
  • 1.6
    2021-07-14 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.5
    2021-05-15 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.4
    2017-10-16 · diff ↗
  • 1.3
    2017-10-04 · diff ↗
Show 6 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2
    2017-03-01 · diff ↗
  • 1.1
    2016-07-09 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0
    2016-04-09
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-04-09
Total releases
8 / 10 yrs
License
GPL-3 OSI
Bundled data
306 KB / 5 files
Download size
378 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mvdalab")

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 mvdalab version 1.7 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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