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: rModeling_0.0.3.tgz, r-oldrel: rModeling_0.0.3.tgz |
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