windows.pls: Segmentation Approaches in Chemometrics

Evaluation of prediction performance of smaller regions of spectra for Chemometrics. Segmentation of spectra, evolving dimensions regions and sliding windows as selection methods. Election of the best model among those computed based on error metrics. Chen et al.(2017) <doi:10.1007/s00216-017-0218-9>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, grDevices, mdatools, readr, stringr, tidyr, tidyverse
Suggests: testthat (≥ 3.0.0)
Published: 2023年08月09日
Author: Elia Gonzato [aut, cre, cph]
Maintainer: Elia Gonzato <elia.gonzato at outlook.it>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: windows.pls results

Documentation:

Reference manual: windows.pls.html , windows.pls.pdf

Downloads:

Windows binaries: r-devel: windows.pls_0.1.0.zip, r-release: windows.pls_0.1.0.zip, r-oldrel: windows.pls_0.1.0.zip
macOS binaries: r-release (arm64): windows.pls_0.1.0.tgz, r-oldrel (arm64): windows.pls_0.1.0.tgz, r-release (x86_64): windows.pls_0.1.0.tgz, r-oldrel (x86_64): windows.pls_0.1.0.tgz

Linking:

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

AltStyle によって変換されたページ (->オリジナル) /