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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "hyperspectR" in publications use:'
type: software
license: MIT
title: 'hyperspectR: Hyperspectral Imaging Analysis for Biomedical Applications'
version: 0.2.0.9000
doi: 10.32614/CRAN.package.hyperspectR
abstract: Read, process, analyze, and visualize hyperspectral imaging (HSI) data from
  Cubert snapshot cameras and standard ENVI/TIFF formats. Provides calibration workflows
  (dark correction, white reference normalization), spectral preprocessing (Savitzky-Golay
  smoothing, SNV, MSC, derivatives), dimensionless spectral indices, research hemoglobin
  fraction fitting, dimensionality reduction (PCA, MNF), pixel classification (SAM,
  SVM, random forest), and constrained spectral unmixing. Includes an interactive
  'shiny' explorer, reproducible batch recipes and grouped evaluation tools. Results
  are research outputs; clinical or device-specific accuracy is not established by
  the included synthetic examples.
authors:
- family-names: Heller
  given-names: R.
  email: raban.heller@charite.de
  orcid: https://orcid.org/0000-0001-8006-9742
- family-names: Forstmeier
  given-names: V.
repository: https://cttir.r-universe.dev
repository-code: https://github.com/cttir/hyperspectR
commit: 642fc056cd43bee6e41aa4cd3b849a279a698b53
url: https://cttir.github.io/hyperspectR/
date-released: '2026-10-14'
contact:
- family-names: Heller
  given-names: R.
  email: raban.heller@charite.de
  orcid: https://orcid.org/0000-0001-8006-9742