softThr

The degree of the sparseness of vector is controlled by the lambda parameter.

methods

Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/guidedPLS>.

Koki Tsuyuzaki

guidedPLS

Supervised Dimensional Reduction by Guided Partial Least Squares

softThr function

<dl> <dt>y</dt>
<dd>A numerical vector.</dd> <dt>lambda</dt>
<dd>Threshold value to convert a value 0. If the absolute value of an element of vector is less than lambda, the value is converted to 0 (Default: 1).</dd></dl>

Arguments

Author

Soft-thresholding to make a sparse vector sparse — softThr

<dl>

 <dt>y</dt>
<dd>A numerical vector.</dd>

 <dt>lambda</dt>
<dd>Threshold value to convert a value 0. If the absolute value of an element of vector is less than lambda, the value is converted to 0 (Default: 1).</dd>

</dl>

softThr: Soft-thresholding to make a sparse vector sparse

Description

Usage

Value

Arguments

Author

Examples