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conda-forge/r-plsdof

r-plsdof

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The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.

Copied fromcf-post-staging / r-plsdof

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-plsdof

Usage Tracking

0.4_0
0.3_2
0.3_0
0.2_9
0.2_7.1
5 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.

Last Updated

Nov 30, 2022 at 12:35

License

GPL (>= 2)

Total Downloads

62.0K

Supported Platforms

noarch

Unsupported Platforms

linux-64 Last supported version: 0.2_7.1
win-64 Last supported version: 0.2_7.1
macOS-64 Last supported version: 0.2_7.1

Home

https://github.com/fbertran/plsdof