rModeling: A Framework of Cross-Validation

A framework of cross-validation for spectral data analysis that allows for automatic tuning of model parameters and for model evaluation. It is particularly useful for applications where intra-group heterogeneity is significant due to inter individual differences. S. Guo, T. Bocklitz, U. Neugebauer, J.Popp (2017) <doi:10.1039/C7AY01363A>.

Version: 0.0.3
Depends: R (≥ 2.10)
Imports: MASS, caret, e1071
Published: 2020-02-17
Author: Shuxia Guo [cre, aut], Thomas Bocklitz [aut], Juergen Popp [ctb, cph]
Maintainer: Shuxia Guo <shuxia.guo at uni-jena.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: rModeling results


Reference manual: rModeling.pdf
Package source: rModeling_0.0.3.tar.gz
Windows binaries: r-devel: rModeling_0.0.3.zip, r-release: rModeling_0.0.3.zip, r-oldrel: rModeling_0.0.3.zip
macOS binaries: r-release (arm64): rModeling_0.0.3.tgz, r-release (x86_64): rModeling_0.0.3.tgz, r-oldrel: rModeling_0.0.3.tgz


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