Package: prospectr 0.2.11

Leonardo Ramirez-Lopez

prospectr: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data

Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.

Authors:Antoine Stevens [aut], Leonardo Ramirez-Lopez [aut, cre]

prospectr_0.2.11.tar.gz
prospectr_0.2.11.zip(r-4.7-x86_64)prospectr_0.2.11.zip(r-4.7-arm64)prospectr_0.2.11.zip(r-4.6-x86_64)prospectr_0.2.11.zip(r-4.6-arm64)
prospectr_0.2.11.tar.gz(r-4.7-arm64)prospectr_0.2.11.tar.gz(r-4.7-x86_64)prospectr_0.2.11.tar.gz(r-4.6-arm64)prospectr_0.2.11.tar.gz(r-4.6-x86_64)
prospectr_0.2.11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
prospectr/json (API)

# Install 'prospectr' in R:
install.packages('prospectr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/l-ramirez-lopez/prospectr/issues

Pkgdown/docs site:https://l-ramirez-lopez.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

quartoopenblascppopenmp

7.88 score 7 packages 506 scripts 1.6k downloads 28 mentions 23 exports 9 dependencies

Last updated from:1ec6dc5f23. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK137
linux-devel-x86_64OK174
source / vignettesOK206
linux-release-arm64OK139
linux-release-x86_64OK171
windows-devel-arm64OK313
windows-devel-x86_64OK277
windows-release-arm64OK339
windows-release-x86_64OK231
wasm-releaseOK124

Exports:baselinebinningblockNormblockScalecochranTestcontinuumRemovaldetrendduplexgapDerhonigskenStonemovavmscnaespuchweinread_nircalreadASDresampleresample2savitzkyGolayshenkWestspliceCorrectionstandardNormalVariate

Dependencies:clicodetoolsforeachiteratorslifecyclemathjaxrRcppRcppArmadillorlang

An introduction to the prospectr package
Preamble | Introduction | Citing the package | Further reading | References
Rendered fromaa-intro.qmdusingquarto::html

Last update: 2026-06-23
Started: 2026-05-31

Pre-processing spectral data
Introduction | Noise removal | Moving average | Savitzky-Golay filtering | Derivatives | Scatter and baseline corrections | Standard Normal Variate (SNV) | Multiplicative Scatter Correction (MSC) | SNV-Detrend | Baseline removal | Centering and scaling | Resampling | Other transformations | Continuum removal | References
Rendered frombb-pre-processing-spectral-data.qmdusingquarto::html

Last update: 2026-06-23
Started: 2026-05-31

Selecting representative calibration samples
Introduction | $k$-means sampling (naes) | Kennard-Stone sampling (kenStone) | DUPLEX (duplex) | SELECT algorithm (shenkWest) | Puchwein algorithm (puchwein) | Honigs sampling (honigs) | References
Rendered fromcc-selecting-representative-calibration-samples.qmdusingquarto::html

Last update: 2026-05-31
Started: 2026-05-31