I think it was me how suggested you the missRanger package, so this is
actually a follow-up of you previous question about censored imputation
of missing values (as far as I can remember).
The missRanger package uses predictive mean matching, so take a look at
?missRanger::pmm and in general read a bit about what 'predictive mean
In a nutshell: If your data is appropriate for this technique, you do
not need to take care of explicit censoring - it will be done implicitly
by the package.
On 11/12/2018 09:12 PM, Bert Gunter wrote:
> You have asked what I believe is an incoherent question, and thus are
> unlikely to receive any useful replies (of course, I may be wrong about
> Please read and follow the posting guide linked below to to ask a question
> that can be answered.
> Bert Gunter
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
> On Mon, Nov 12, 2018 at 12:03 PM Rebecca Bingert <[hidden email]>
>> does anybody know where I need to insert the censoring in the missRanger
>> [hidden email] 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.
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> [hidden email] 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.