Package: prospectr 0.2.10

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_0.2.10.tar.gz
prospectr_0.2.10.zip(r-4.7)prospectr_0.2.10.zip(r-4.6)prospectr_0.2.10.zip(r-4.5)
prospectr_0.2.10.tgz(r-4.6-x86_64)prospectr_0.2.10.tgz(r-4.6-arm64)prospectr_0.2.10.tgz(r-4.5-x86_64)prospectr_0.2.10.tgz(r-4.5-arm64)
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prospectr_0.2.10.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://l-ramirez-lopez.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:

calibrationcheminformaticschemometricsderivativesinfrarednear-infrarednirpedometricspreprocessingresamplesamplingsignalsoil-spectroscopyspectroscopyquartoopenblascppopenmp

11.63 score 48 stars 5 packages 544 scripts 2.1k downloads 28 mentions 23 exports 9 dependencies

Last updated from:2eec3a9bc4. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK197
linux-devel-x86_64OK193
source / vignettesOK239
linux-release-arm64OK179
linux-release-x86_64OK186
macos-release-arm64OK210
macos-release-x86_64OK311
macos-oldrel-arm64OK253
macos-oldrel-x86_64OK322
windows-develOK235
windows-releaseOK217
windows-oldrelOK230
wasm-releaseOK152

Exports:baselinebinningblockNormblockScalecochranTestcontinuumRemovaldetrendduplexgapDerhonigskenStonemovavmscnaespuchweinread_nircalreadASDresampleresample2savitzkyGolayshenkWestspliceCorrectionstandardNormalVariate

Dependencies:clicodetoolsforeachiteratorslifecyclemathjaxrRcppRcppArmadillorlang

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: 2026-06-22
Started: 2026-05-17

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

Last update: 2026-05-31
Started: 2026-05-17

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: 2026-05-17