[R] missRanger package

[Dénes Tóth]

Hi Rebecca,

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 
matching' means.

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.

Cheers,
Denes


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
> this...).
> 
> 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 <rebecca.bingert using gmx.de>
> wrote:
> 
>> Hi,
>> does anybody know where I need to insert the censoring in the missRanger
>> package?
>> Regards,
>> Rebecca
>>
>> ______________________________________________
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> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.
>