Package: proximetricsR
Type: Package
Title: Spectral Preprocessing and Chemometric Calibration of NIR
        Sensors
Version: 0.7.2
Date: 2026-09-18
Authors@R: c(
    person(given = "Leonardo",
           family = "Ramirez-Lopez",
           role = c("aut", "cre"),
           email = "ramirez-lopez.l@buchi.com",
           comment = c(ORCID = "0000-0002-5369-5120")),
    person(given = "Claudio",
           family = "Orellano",
           role = "aut", 
           comment = c(ORCID = "0009-0005-7523-4236")),
    person(given = "Nicolae",
           family = "Cudlenco",
           role = "aut", 
           comment = c(ORCID = "0000-0001-6547-3659")),
    person(given = "Mai",
           family = "Said",
           role = "aut", 
           comment = c(ORCID = "0000-0001-6979-8725")),
    person(given = "Mohamed",
           family = "Abushosha",
           role = "aut"), 
    person(given = "Marcal",
           family = "Plans",
           role = "aut", 
           comment = c(ORCID = "0000-0001-9894-2626"))
    )
Maintainer: Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com>
BugReports: https://github.com/buchi-labortechnik-ag/proximetricsr/issues
Description: 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>.
License: MIT + file LICENSE
URL: https://proximetricsr.r.packages.buchi-nir.io/,
        https://github.com/buchi-labortechnik-ag/proximetricsr/
VignetteBuilder: quarto
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, scales
Suggests: knitr, testthat, covr, doParallel, pkgload
LinkingTo: Rcpp, RcppArmadillo
RdMacros: mathjaxr
NeedsCompilation: yes
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
Config/testthat/edition: 3
Config/VersionName: NewCastle
Config/roxygen2/version: 8.0.0
Config/roxygen2/markdown: TRUE
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://buchi-labortechnik-ag.r-universe.dev
Date/Publication: 2026-09-28 20:47:36 UTC
RemoteUrl: https://github.com/buchi-labortechnik-ag/proximetricsr
RemoteRef: HEAD
RemoteSha: e6321ba5b61aa34a31423bd4ed9eb4a1f8b2103f
Packaged: 2026-10-09 11:42:58 UTC; root
Author: Leonardo Ramirez-Lopez [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5369-5120>),
  Claudio Orellano [aut] (ORCID: <https://orcid.org/0009-0005-7523-4236>),
  Nicolae Cudlenco [aut] (ORCID: <https://orcid.org/0000-0001-6547-3659>),
  Mai Said [aut] (ORCID: <https://orcid.org/0000-0001-6979-8725>),
  Mohamed Abushosha [aut],
  Marcal Plans [aut] (ORCID: <https://orcid.org/0000-0001-9894-2626>)