Supervised Component Generalized Linear Regression

The Fisher Scoring Algorithm is extended so as to combine Partial Least Squares regression with Generalized Linear Model estimation in the multivariate context.


News

  • version 2.0.3
  • added utils::globalVariables and @importFrom to keep CMD CHECK happy
  • added plane parameter to barplot to have alternate coloring for selected components
  • now require ggplot2 >= 2.0.0
  • version 2.0.2
  • fix bug in component optimization
  • version 2.0.1
  • performance improvement
  • fix compatibility of vignette source with knitr 1.7
  • version 2.0
  • New method is available : SR (Structural Relevance) see vignette
  • Major rewrite of plot styling (not backward compatible)
  • Various fixes and improvements (especially when dealing with a single dependant variable)
  • version 1.0 Initial version of SCGLR
  • method LPLS (Local PLS)

Reference manual

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install.packages("SCGLR")

2.0.3 by Guillaume Cornu, 2 years ago


Browse source code at https://github.com/cran/SCGLR


Authors: Guillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]


Documentation:   PDF Manual  


CeCILL-2 | GPL-2 license


Imports Matrix, Formula, expm, graphics, grid, ggplot2, pROC, scales

Suggests parallel, gridExtra, knitr


See at CRAN