sgPLS-package

<p>The sgPLS package provides sparse, group and sparse group
  version for PLS approaches. 
	The main functions are:  <code>sPLS</code> for sparse PLS, <code>gPLS</code> for group PLS and <code>sgPLS</code> for sparse group PLS.</p>

 package

Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis is also provided.

Benoit Liquet

sgPLS

Sparse Group Partial Least Square Methods

sgPLS-package function

<p>Benoit Liquet &lt;b.liquet@uq.edu.au&gt;, Pierre Lafaye de Micheaux</p>

Get 50% off unlimited learning

sgPLS-package: Group and Sparse Group Partial Least Square Model

Description

Arguments

Author

References

See Also