[R-sig-eco] mvpart alternatives and machine learning multivariate analysis

[Torsten Hauffe]

As far as I remember, on Windows you will need to download and install the
Rtools first (https://cran.r-project.org/bin/windows/Rtools/) because some
parts of mvpart need to be compiled.

You can analyse multiple species-environment relationships with the mvabund
package. This is not fancy machine-learning but solid likelihood statistic.

HTH,
Torsten

On 24 June 2017 at 11:57, Ralf Schäfer <senator at ecotoxicology.de> wrote:

> Manuel,
>
> I just checked, it is currently still compatible. So you can download from
> the archive and install from source - at least on Linux and OS X, nut sure
> about Windows.
> See Session information below:
>
> > R version 3.4.0 (2017-04-21)
> > Platform: x86_64-apple-darwin15.6.0 (64-bit)
> > Running under: macOS Sierra 10.12.5
> >
> > Matrix products: default
> > BLAS: /Library/Frameworks/R.framework/Versions/3.4/
> Resources/lib/libRblas.0.dylib
> > LAPACK: /Library/Frameworks/R.framework/Versions/3.4/
> Resources/lib/libRlapack.dylib
> >
> > locale:
> > [1] de_DE.UTF-8/de_DE.UTF-8/de_DE.UTF-8/C/de_DE.UTF-8/de_DE.UTF-8
> >
> > attached base packages:
> > [1] stats     graphics  grDevices utils     datasets  methods   base
> >
> > other attached packages:
> > [1] mvpart_1.6-2
> >
> > loaded via a namespace (and not attached):
> > [1] compiler_3.4.0
>
>
> However, there are certainly other packages that can partition
> multivariate ecological data, though I am not aware of other packages for
> use with multivariate regression trees.
>
> Regards
> Ralf
>
>
>
> > Am 24.06.2017 um 17:47 schrieb Manuel Spínola <mspinola10 at gmail.com>:
> >
> > Thank you Ralf,
> >
> > But I guess is not going to be newer versions and could be incompatible
> with newer version of R, so at some moment there will be no accessibility
> to the package.
> >
> > Manuel
> >
> > 2017-06-24 5:25 GMT-06:00 Ralf Schäfer <senator at ecotoxicology.de
> <mailto:senator at ecotoxicology.de>>:
> > Dear Manuel
> >
> > despite it has been removed, it should still work.
> > At least I used it last year - just install the version from the archive
> manually:
> > https://cran.r-project.org/src/contrib/Archive/mvpart/ <
> https://cran.r-project.org/src/contrib/Archive/mvpart/>
> >
> > Best regards
> > Ralf
> >
> >
> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
> >> From: Manuel Sp?nola <mspinola10 at gmail.com <mailto:mspinola10 at gmail.com
> >>
> >> To: "r-sig-ecology at r-project.org <mailto:r-sig-ecology at r-project.org>"
> <r-sig-ecology at r-project.org <mailto:r-sig-ecology at r-project.org>>
> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
> >>      multivariate    analysis
> >> Message-ID:
> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
> mail.gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3
> DXTw at mail.gmail.com>>
> >> Content-Type: text/plain; charset="UTF-8"
> >>
> >> Dear list members,
> >>
> >> As mvpart has been removed form the CRAN repository, Is there any r
> package
> >> that do similar analysis (multivariate partitioning)?
> >>
> >> Also, is there any other machine learning technique to do multivariate
> >> analysis as done in ecology to asses multiple species-environment
> >> relationships?
> >>
> >> Thank you very much in advance,
> >>
> >> Manuel
> >>
> >> --
> >> *Manuel Sp?nola, Ph.D.*
> >> Instituto Internacional en Conservaci?n y Manejo de Vida Silvestre
> >> Universidad Nacional
> >> Apartado 1350-3000
> >> Heredia
> >> COSTA RICA
> >> mspinola at una.cr <mailto:mspinola at una.cr> <mspinola at una.ac.cr <mailto:
> mspinola at una.ac.cr>>
> >> mspinola10 at gmail.com <mailto:mspinola10 at gmail.com>
> >> Tel?fono: (506) 8706 - 4662
> >> Personal website: Lobito de r?o <https://sites.google.com/
> site/lobitoderio/ <https://sites.google.com/site/lobitoderio/>>
> >> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/ <
> http://www.icomvis.una.ac.cr/>>
> >
> >
> >
> > --
> > Manuel Spínola, Ph.D.
> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
> > Universidad Nacional
> > Apartado 1350-3000
> > Heredia
> > COSTA RICA
> > mspinola at una.cr <mailto:mspinola at una.ac.cr>
> > mspinola10 at gmail.com <mailto:mspinola10 at gmail.com>
> > Teléfono: (506) 8706 - 4662
> > Personal website: Lobito de río <https://sites.google.com/
> site/lobitoderio/>
> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>
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