waves: Vis-NIR Spectral Analysis Wrapper

Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: dplyr, prospectr, spectacles, caret, pls, randomForest, wesanderson, magrittr, tidyselect, ggplot2, tidyr (≥ 1.0), stringr, rlang
Suggests: testthat (≥ 2.1.0)
Published: 2020-09-17
Author: Jenna Hershberger ORCID iD [aut, cre], Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Maintainer: Jenna Hershberger <jmh579 at cornell.edu>
BugReports: https://github.com/GoreLab/waves/issues
License: MIT + file LICENSE
URL: https://github.com/GoreLab/waves
NeedsCompilation: no
Citation: waves citation info
Materials: README NEWS
CRAN checks: waves results


Reference manual: waves.pdf
Package source: waves_0.1.0.tar.gz
Windows binaries: r-devel: waves_0.1.0.zip, r-release: waves_0.1.0.zip, r-oldrel: waves_0.1.0.zip
macOS binaries: r-release: waves_0.1.0.tgz, r-oldrel: waves_0.1.0.tgz


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