Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.

Maintainer: Claudia Beleites <chemometrie at beleites.de>

Author(s): Claudia Beleites*, Valter Sergo*, Alois Bonifacio*, Marcel Dahms*, Björn Egert*, Simon Fuller*, Rustam Guliev*, Bryan Hanson*, Michael Hermes*, Martin Kammer*, Roman Kiselev*, Sebastian Mellor*

Install package and any missing dependencies by running this line in your R console:

install.packages("hyperSpec")

Depends R (>= 2.15), lattice, grid, ggplot2(>=2.2.0)
Imports testthat, methods, utils, latticeExtra
Suggests R.matlab, tripack, deldir, rgl, plotrix, sp, baseline, compiler, inline, Rcpp, MASS, fastcluster, pls, mvtnorm, digest, reshape, devtools, R.rsp
Enhances
Linking to
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depends
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imports
photobiologyInOut, specmine
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suggests
prospectr
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enhances
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linking to

Package hyperSpec
Materials
URL http://hyperSpec.r-forge.r-project.org/
Task Views ChemPhys
Version 0.99-20171005
Published 2017-10-06
License GPL (>= 3)
BugReports https://github.com/cbeleites/hyperSpec/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks hyperSpec check results
Package source hyperSpec_0.99-20171005.tar.gz