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proximetricsR

0.7.0

Spectral Preprocessing and Chemometric Calibration of NIR Sensors

0packages depend
609downloads / year
82.3%test coverage
13/13checks pass

Overview

About
Maintained by Leonardo Ramirez-LopezFirst published 2026-07-013 releasesCRAN page ↗GitHub ↗

Provides tools to build quantitative chemometric models and applications for near-infrared (NIR) sensors. Chemometric regression models are based on partial least squares regression as described by Wold (1975) doi:10.1016/B978-0-12-103950-9.50017-4 and modified partial least squares regression as described by Shenk and Westerhaus (1991) doi:10.2135/cropsci1991.0011183X003100020049x, with further discussion by Westerhaus (2014) doi:10.1255/nirn.1492.

Install

Health

CRAN checks
13OK
Slowest check: 7.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 1.13
82.3%
Coverage · measured lines
100%
Documentation · exports
14
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-01
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 789 wordsVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
96%
Return-value docs
100%
References docs
3%

Downloads

609
CRAN downloads in the past year
Rank #17,842 · ~2/day · ~51/mo
Daily download trend is not available in this view yet.
27030 days
60990 days
6091 year
Compare downloads with other packages →
Also on33 r2u

Repository

Repository
0Stars
1Forks
0Open issues
0Open PRs
1Releases
95Commits
2Contributors
calbrationcheminformaticschemometricsnear-infrarednear-infrared-spectroscopypedometricsr-langr-language
95 commits · Last activity 2026-08-20

Issues over time

2026-08-05 · 32026-08-15 · 0

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/buchi-labortechnik-ag/proximetricsr on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.qmd
Research and citation (1)
CITATION.cff
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Package Timeline

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

  • 0.7.0Latest
    2026-08-04 · current release · diff ↗
  • 0.6.5
    2026-07-18 · diff ↗
  • 0.6.4
    2026-07-01
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-01
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.2.0
Bundled data
146 KB / 1 file
Download size
3.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("proximetricsR")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

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 proximetricsR version 0.7.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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