Hi David,
If this has loaded correctly then it still does not allow me to run
iv.multi command where a can add all the variables in the model and find
their respective WOE and IV values.
Thanks, Shivi
On Wed, Aug 17, 2016 at 1:17 AM, David Winsemius <dwinsem...@comcast.net>
wrote:
>
> > On Aug 16, 2016, at 11:07 AM, Shivi Bhatia <shivipm...@gmail.com> wrote:
> >
> > HI Team,
> >
> > I am working to reduce the # of predictor variables from the model using
> > woe and iv values. For this i am using riv package. However i am having a
> > hard time installing this package:
> >
> > install_github("riv","tomasgreif")
> > install.packages("DBI",dependencies=TRUE)
> >
> > The error i receive is :
> > *Username parameter is deprecated. Please use tomasgreif/riv *
>
> No. You did not get an error message. It was clearly labeled a :Warning
> message". Here is the full console output from that call:
>
> > install_github("riv","tomasgreif")
> Downloading GitHub repo tomasgreif/riv@master
> from URL https://api.github.com/repos/tomasgreif/riv/zipball/master
> Installing woe
> '/Library/Frameworks/R.framework/Resources/bin/R' --no-site-file
> --no-environ \
> --no-save --no-restore --quiet CMD INSTALL \
> '/private/var/folders/yq/m3j1jqtj6hq6s5mq_v0jn3s80000gn/T/Rtmp6YDYoj/
> devtoolsadc32ead1a82/tomasgreif-woe-43fcf26' \
> --library='/Library/Frameworks/R.framework/Versions/3.3/Resources/library'
> \
> --install-tests
>
> * installing *source* package ‘woe’ ...
> ** R
> ** data
> *** moving datasets to lazyload DB
> ** demo
> ** preparing package for lazy loading
> ** help
> *** installing help indices
> ** building package indices
> ** testing if installed package can be loaded
> * DONE (woe)
> Warning message:
> Username parameter is deprecated. Please use tomasgreif/riv
>
>
> It's just telling you to use this next time:
>
> install_github("tomasgreif/riv")
>
> I will lay long odds that you already have the package installed.
>
> I cannot comment on what this package purports to do. I'm somewhat
> suspicious that it is statistically suspect.
>
> --
> David.
>
> >
> > The other approach i have to use the library(InformationValue). I have
> this
> > as below:
> > WOE(X=SFDC1$support_cat, Y=SFDC1$survey)
> > WOETable(X=SFDC1$support_cat, Y=SFDC1$survey)
> > IV(X=SFDC1$support_cat, Y=SFDC1$survey)
> >
> > This package assists me achieve what i am looking for but here i need to
> > add one independent variable at a time to see whether it is predictive or
> > not. Is there a way i can add all variables at a go or have to add one by
> > one,
> >
> > For the above package (riv) i have seen an example which helps to take
> the
> > entire data range and predictive the power of each predictor. The link
> for
> > the same is:
> > https://www.r-bloggers.com/r-credit-scoring-woe-
> information-value-in-woe-
> > package/
> >
> > Thanks, Shivi
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
> David Winsemius
> Alameda, CA, USA
>
>
[[alternative HTML version deleted]]
______________________________________________
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