hyperSpec (0.99-20200213)

1 user

Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...).


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
Author(s): Claudia Beleites [aut, cre, dtc], Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Bjrn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]

License: GPL (>= 3)

Uses: dplyr, ggplot2, lattice, latticeExtra, lazyeval, testthat, xml2, R.matlab, R.rsp, deldir, digest, inline, mvtnorm, plotrix, pls, reshape, rgl, sp, tripack, Rcpp, MASS, baseline, fastcluster, devtools, tibble
Reverse suggests: hsdar, photobiologyInOut, serrsBayes

Released about 1 month ago.

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