Search found 61 matches

by richardparker
Wed Apr 09, 2014 3:57 pm
Forum: Realcom user forum
Topic: Imputation very slow
Replies: 7
Views: 11114

Re: Imputation very slow

Following on from this thread, if anyone else is interested in a faster means of performing multiple imputation for 2-level models with missing data, please see the newly-released 2LevelImpute Stat-JR template (and supporting Stat-JR eBook) downloadable from here: http://www.bristol.ac.uk/cmm/softwa...
by richardparker
Wed Apr 09, 2014 3:54 pm
Forum: Stat-JR user forum
Topic: ML multiple imputation
Replies: 6
Views: 9692

Re: ML multiple imputation

Following on from this thread, if anyone else is interested in software to perform multiple imputation for 2-level models with missing data, please see the newly-released 2LevelImpute Stat-JR template (and supporting Stat-JR eBook) downloadable from here: http://www.bristol.ac.uk/cmm/software/statjr...
by richardparker
Fri Mar 28, 2014 1:48 pm
Forum: R2MLwiN user forum
Topic: R2MLwiN of mixture models
Replies: 8
Views: 11426

Re: R2MLwiN of mixture models

Hi - the latest version of R2MLwiN (0.2.0), released today, has bug fixes for this.

Thanks again for reporting the issue.

Best wishes,

Richard
by richardparker
Fri Mar 28, 2014 1:46 pm
Forum: R2MLwiN user forum
Topic: Possible bug in R2MLwiN
Replies: 2
Views: 5281

Re: Possible bug in R2MLwiN

Hi - the latest version of R2MLwiN (0.2-0), released today, now has a bug fix for this.

Thanks again for reporting it.

Best wishes,

Richard
by richardparker
Thu Mar 20, 2014 5:38 pm
Forum: R2MLwiN user forum
Topic: Possible bug in R2MLwiN
Replies: 2
Views: 5281

Re: Possible bug in R2MLwiN

Hi - many thanks for highlighting this. It appears to occur whenever an interaction is specified in the R2MLwiN formula (as variable1:variable2) - R2MLwiN places this at the end of the list of predictors as modelled in MLwiN, regardless of where it was specified in the original formula, but then doe...
by richardparker
Thu Mar 06, 2014 4:49 pm
Forum: R2MLwiN user forum
Topic: R2MLwiN of mixture models
Replies: 8
Views: 11426

Re: R2MLwiN of mixture models

Hi Manuel,

Thanks for alerting us to this; on further investigation it appears that a bug in the R2MLwiN package is responsible for this problem, so we'll look into possible solutions and get back to you.

Best wishes,

Richard
by richardparker
Tue Feb 04, 2014 5:35 pm
Forum: R2MLwiN user forum
Topic: R2MLwiN: issues specifying formula for a categorical var
Replies: 4
Views: 7750

Re: R2MLwiN: issues specifying formula for a categorical var

Hi - just confirming this bug has now been fixed in R2MLwiN version 0.1-8, now available on CRAN.

Best wishes,

Richard
by richardparker
Mon Jan 20, 2014 1:41 pm
Forum: R2MLwiN user forum
Topic: R2MLwiN: issues specifying formula for a categorical var
Replies: 4
Views: 7750

Re: R2MLwiN: issues specifying formula for a categorical var

Hi Maxim, Thanks for raising this issue. You're right: due to the manner in which MLwiN handles dummy variables, there can be issues when fitting a model (via R2MLwiN) with a categorical predictor in the fixed and random part of a model, and so I'm afraid a workaround is needed. To this end, R2MLwiN...
by richardparker
Fri Dec 20, 2013 2:46 pm
Forum: Stat-JR user forum
Topic: ML multiple imputation
Replies: 6
Views: 9692

Re: ML multiple imputation

Hi again, Further to my last post, we've just uploaded some additional templates on our Stat-JR downloads page (http://www.bristol.ac.uk/cmm/software/statjr/downloads/); the files in the "further multivariate normal and mixed response models" folder, in particular, might be of interest to ...
by richardparker
Fri Dec 20, 2013 12:40 pm
Forum: Stat-JR user forum
Topic: ML multiple imputation
Replies: 6
Views: 9692

Re: ML multiple imputation

Hi Shane, Thanks for your query; we have been developing a template, and eBook, to conduct multiple imputation for 2-level models in Stat-JR; we aim to make this available early in the new year - we'll post a link on this forum, and in a news item on the CMM home page, as soon as it's available. Bes...