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MUVR2  

Multivariate Methods with Unbiased Variable Selection
View on CRAN: Click here


Download and install MUVR2 package within the R console
Install from CRAN:
install.packages("MUVR2")

Install from Github:
library("remotes")
install_github("cran/MUVR2")

Install by package version:
library("remotes")
install_version("MUVR2", "0.1.0")



Attach the package and use:
library("MUVR2")
Maintained by
Yingxiao Yan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-16
Latest Update: 2024-09-16
Description:
Predictive multivariate modelling for metabolomics. Types: Classification and regression. Methods: Partial Least Squares, Random Forest ans Elastic Net Data structures: Paired and unpaired Validation: repeated double cross-validation (Westerhuis et al. (2008)<doi:10.1007/s11306-007-0099-6>, Filzmoser et al. (2009)<doi:10.1002/cem.1225>) Variable selection: Performed internally, through tuning in the inner cross-validation loop.
How to cite:
Yingxiao Yan (2024). MUVR2: Multivariate Methods with Unbiased Variable Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/MUVR2. Accessed 28 Sep. 2024.
Previous versions and publish date:
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Complete documentation for MUVR2
Functions, R codes and Examples using the MUVR2 R package
Full MUVR2 package functions and examples
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