[R] diagonal LDA

[Martin Maechler]

>>>>> "ac" == array chip <arrayprofile at yahoo.com>
>>>>>     on Thu, 15 Nov 2007 22:50:23 -0800 (PST) writes:

    ac> Thanks for suggestion. the dlda() function in supclust
    ac> only outputs the class prediction without details of the
    ac> model and the posterior probabilities like the lda()
    ac> function in MASS. Is there an equivalent to the lda()
    ac> for diagonal linear discriminant analysis?

"equivalent" probably not;  
but when working/testing/... with the maintainer of the
'supclust' package, mentioned below, 
I found it useful to add

  dDA()
  diagDA()

to package 'sfsmisc'

--->  install.packages("sfsmisc")
      library(sfsmisc)
      ?diagDA

and that help page mentions that these are just improvements of
earlier code of Sandrine Dudoit and Jane Fridlyand 

Martin Maechler, ETH Zurich


    ac> Thanks


    ac> --- Weiwei Shi <helprhelp at gmail.com> wrote:

    >> supclust
    >> 
    >> On 11/9/07, array chip <arrayprofile at yahoo.com> wrote: >
    >> Hi is there a package for diagonal linear discriminant >
    >> analysis (diagonal LDA)?
    >> >
    >> > Thanks
    >> >
    >> > ______________________________________________ >
    >> R-help at r-project.org mailing list >
    >> https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do
    >> read the posting guide
    >> http://www.R-project.org/posting-guide.html > and provide
    >> commented, minimal, self-contained, reproducible code.
    >> >
    >> 
    >> 
    >> -- 
    >> Weiwei Shi, Ph.D Research Scientist GeneGO, Inc.
    >> 
    >> "Did you always know?"  "No, I did not. But I
    >> believed..."  ---Matrix III
    >> 



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    ac> R-help at r-project.org mailing list
    ac> https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do
    ac> read the posting guide
    ac> http://www.R-project.org/posting-guide.html and provide
    ac> commented, minimal, self-contained, reproducible code.