sgspls-package: Sparse group-subgroup partial least squares

In matt-sutton/sgspls: Sparse group-subgroup partial least squares

Description

Implementation of sparse group subgroup Partial Least Squares. Designed for variable selection at a group, subgroup and individual level.

Details

Implementation of sparse group subgroup Partial Least Squares. Designed for variable selection at a group, subgroup and individual level.

Author(s)

Matthew Sutton, Benoit Liquet

Maintainer: Matthew Sutton <[e-mail]>

References

Liquet Benoit, Lafaye de Micheaux, Boris Hejblum, Rodolphe Thiebaut. A group and Sparse Group Partial Least Square approach applied in Genomics context. Submitted.

L\^e Cao, K.-A., Martin, P.G.P., Robert-Grani\'e, C. and Besse, P. (2009). Sparse canonical methods for biological data integration: application to a cross-platform study. BMC Bioinformatics 10:34.

Shen, H. and Huang, J. Z. (2008). Sparse principal component analysis via regularized low rank matrix approximation. Journal of Multivariate Analysis 99, 1015-1034.

Tenenhaus, M. (1998). La r\'egression PLS: th\'eorie et pratique. Paris: Editions Technic.

matt-sutton/sgspls documentation built on June 22, 2019, 10:21 a.m.