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Published April 30, 2021 | Version 1.0.4
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TESTgroup-BNL/spectratrait: spectratrait_v1.0.4

  • 1. Brookhaven National Laboratory

Description

A tutorial R package for illustrating how to fit, evaluate, and report spectra-trait PLSR models. The package provides functions to enhance the base functionality of the R pls package, identify an optimal number of PLSR components, standardize model validation, and vignette examples that utilize datasets sourced from EcoSIS (https://ecosis.org/)

Angela C Burnett, Jeremiah Anderson, Kenneth J Davidson, Kim S Ely, Julien Lamour, Qianyu Li, Bailey D Morrison, Dedi Yang, Alistair Rogers, Shawn P Serbin, A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression, Journal of Experimental Botany, Volume 72, Issue 18, 30 September 2021, Pages 6175–6189, https://doi.org/10.1093/jxb/erab295

Notes

Angela C Burnett, Jeremiah Anderson, Kenneth J Davidson, Kim S Ely, Julien Lamour, Qianyu Li, Bailey D Morrison, Dedi Yang, Alistair Rogers, Shawn P Serbin, A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression, Journal of Experimental Botany, Volume 72, Issue 18, 30 September 2021, Pages 6175–6189, https://doi.org/10.1093/jxb/erab295

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