On Fri, 17 Jul 2009, Daniel Abbott wrote:
Hello,
I apologize if an answer to my questions is available, or if I
submitted this question incorrectly. I have read the mailing lists, as
well as the R Project and CRAN homepages. However, I may have missed
something.
I noticed the package 'norm' has been removed. Its page
http://cran.r-project.org/web/packages/norm/index.html now reads:
"Package ?norm? was removed from the CRAN repository.
Formerly available versions can be obtained from the archive."
My questions are:
1. Why was norm removed? I used the package and found it to be very
useful. Is there a serious error in the package or another problem?
What do you consider to be a serious error?
Typical reasons for removing a package from the active CRAN repository are
that the package does not pass CRAN checks and/or that the package
maintainer is irresponsive. (norm, specifically, hadn't been updated since
2002.) This is serious enough to make all automatic CRAN features such as
daily package checks and building of binary packages too cumbersome.
But if you do not consider this to be serious, you can keep on using
"norm", it is still in CRAN's package archives. Or, even better, you could
adopt it, fix it, and release a new version to CRAN (although it is not
quite clear to me whether the norm's license allows this).
(Note that CRAN runs no checks whether the methods implemented are
reasonable or well-suited for the problem they are trying to address etc.)
2. If norm should no longer be removed, what is another good package
for ML (maximum likelihood) missing data imputation? I have seen
several recommendations online, but I wonder which one is currently
the "reigning champ."
The "Multivariate" and the "SocialSciences" task views have sections about
missing data
http://CRAN.R-project.org/view=Multivariate
http://CRAN.R-project.org/view=SocialSciences
Additionally, I can recall that there is the Amelia II package:
http://CRAN.R-project.org/package=Amelia
and potentially others.
hth,
Z
Thank you very much. I appreciate your time!
______________________________________________
R-help@r-project.org mailing list
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.
______________________________________________
R-help@r-project.org mailing list
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.
