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proximetricsR: Spectral Preprocessing and Chemometric Calibration of NIR Sensors

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>.

Version: 0.6.4
Depends: R (≥ 4.2.0)
Imports: callr, digest (≥ 0.6), foreach, mathjaxr (≥ 1.0), plotly (≥ 4.0), prospectr (≥ 0.2.10), quarto, uuid, withr, zip, readxl, jsonlite, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, testthat, covr, doParallel, parallel, devtools
Published: 2026-06-30
DOI: 10.32614/CRAN.package.proximetricsR (may not be active yet)
Author: Leonardo Ramirez-Lopez ORCID iD [aut, cre], Claudio Orellano ORCID iD [aut], Nicolae Cudlenco ORCID iD [aut], Mai Said ORCID iD [aut], Mohamed Abushosha [aut], Marcal Plans ORCID iD [aut]
Maintainer: Leonardo Ramirez-Lopez <ramirez-lopez.l at buchi.com>
BugReports: https://github.com/l-ramirez-lopez/proximetricsr/issues
License: MIT + file LICENSE
URL: https://github.com/l-ramirez-lopez/proximetricsr
NeedsCompilation: yes
Citation: proximetricsR citation info
Materials: README, NEWS
CRAN checks: proximetricsR results

Documentation:

Reference manual: proximetricsR.html , proximetricsR.pdf
Vignettes: An introduction to the proximetricsR package (source, R code)
Spectral pre-processing recipes (source, R code)
Mathematical overview of regression algorithms (source, R code)
ProxiMate: Building applications (source, R code)
ProxiScout: Building applications (source, R code)
ProxiMate: Structure of the applications (source, R code)
ProxiScout: Structure of the applications (source)
Read and recalibrate application (source, R code)

Downloads:

Package source: proximetricsR_0.6.4.tar.gz
Windows binaries: r-devel: proximetricsR_0.6.4.zip, r-release: not available, r-oldrel: proximetricsR_0.6.4.zip
macOS binaries: r-release (arm64): proximetricsR_0.6.4.tgz, r-oldrel (arm64): proximetricsR_0.6.4.tgz, r-release (x86_64): proximetricsR_0.6.4.tgz, r-oldrel (x86_64): proximetricsR_0.6.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=proximetricsR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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