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
I could not find the word "censor" in the documentation for the missRanger
package, so I think additional explanation is needed.
Also, I would expect information about censoring to be included in data
provided to a function in a package -- inserting censoring into a package
doesn't make sense.
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
Hi,
does anybody know where I need to insert the censoring in the missRanger
package?
Regards,
Rebecca
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