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.
Version: |
0.100.0 |
Depends: |
R (≥ 3.6.0), lattice, grid, ggplot2 (≥ 2.2.0), xml2 |
Imports: |
testthat, methods, utils, latticeExtra, lazyeval, dplyr |
Suggests: |
R.matlab, tripack, deldir, rgl, plotrix, sp, baseline, compiler, inline, Rcpp, MASS, fastcluster, pls, mvtnorm, digest, reshape, devtools, R.rsp, tibble |
Published: |
2021-09-13 |
Author: |
Claudia Beleites
[aut, cre, dtc],
Valter Sergo [aut],
Alois Bonifacio [ctb, dtc],
Marcel Dahms [ctb],
Björn Egert [ctb],
Simon Fuller [ctb],
Vilmantas Gegzna [ctb],
Rustam Guliev [ctb],
Bryan A. Hanson [ctb],
Michael Hermes [ctb],
Martin Kammer [dtc],
Roman Kiselev [ctb],
Sebastian Mellor [ctb] |
Maintainer: |
Claudia Beleites <Claudia.Beleites at chemometrix.gmbh> |
BugReports: |
https://github.com/r-hyperspec/hyperSpec/issues |
License: |
GPL (≥ 3) |
URL: |
https://r-hyperspec.github.io/hyperSpec/ (documentation),
https://github.com/r-hyperspec/hyperSpec (code) |
NeedsCompilation: |
no |
Citation: |
hyperSpec citation info |
Materials: |
NEWS |
CRAN checks: |
hyperSpec results |