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 [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

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