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rModeling (version 0.0.3)

A Framework of Cross-Validation

Description

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) .

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Version

Install

install.packages('rModeling')

Monthly Downloads

10

Version

0.0.3

License

GPL-2

Maintainer

Shuxia Guo

Last Published

February 17th, 2020

Functions in rModeling (0.0.3)

predPcaLda

Predict new instances using the PCA-LDA model built from tunePcaLda).
predSummary

Calculate the merit of the prediction
dataSplit

A procedure to split whole dataset into multiple folds.
fnPcaLda

Build a classifier using PCA-LDA
rModeling-package

Cross-validation in spectroscopic data
crossValidation

Conduct cross-validation
tunePcaLda

Build a classifier with parameter tuning.
DATA

A Raman spectral data collected from cell lines.