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MLwiN 3.03 has now been released. For details of bug fixes go to: https://bristol.ac.uk/cmm/software/mlwi ... fixes.html

Upgrade to latest version: https://www.cmm.bristol.ac.uk/clients/softwaredownload/

We are pleased to announce the release of version 1.0.6 of Stat-JR.

This version has all the existing functionality of Stat-JR including its own MCMC estimation engine, interoperability with many software packages, three different interfaces (web, eBook and workflow) and its statistical analysis ...

MLwiN 3.02 has now been released. For details of bug fixes go to: http://bristol.ac.uk/cmm/software/mlwin/bugs/fixes.html

Upgrade to latest version: https://www.cmm.bristol.ac.uk/clients/softwaredownload/

We are pleased to announce the release of version 1.0.5 of Stat-JR.

This release contains many bug fixes and new features:
http://www.bristol.ac.uk/cmm/software/statjr/bugs/fixes.html
http://www.bristol.ac.uk/cmm/software/statjr/features/new105/

A major new functionality is the introduction of ...

R2MLwiN 0.8-5 has now been released. For details of new features and bug fixes go to:
http://cran.r-project.org/web/packages/R2MLwiN/NEWS

or for further details regarding bugs visit:
http://www.bristol.ac.uk/cmm/software/r2mlwin/r2mlwin-knownbugs.html

For information on installation/upgrading ...

R2MLwiN 0.8-4 has now been released. For details of new features and bug fixes go to:
http://cran.r-project.org/web/packages/R2MLwiN/NEWS

For information on installation/upgrading see:
http://www.bris.ac.uk/cmm/software/r2mlwin/

MLwiN 3.01 has now been released. For details of bug fixes go to: https://www.bristol.ac.uk/cmm/software/ ... fixes.html

Upgrade to latest version: https://www.cmm.bris.ac.uk/clients/softwaredownload/

MLwiN 3.00 has now been released.

For details of bug fixes go to: http://www.bristol.ac.uk/cmm/software/mlwin/bugs/fixes.html

For detail on changes and new features see: http://www.bristol.ac.uk/cmm/software/mlwin/features/mlwin-3-00.html

Upgrade to latest version: http://www.cmm.bristol.ac.uk ...

There are now three principal Stat-JR templates available to support handling missing data in multilevel generalised linear models. These are typically much quicker than the equivalent executions in REALCOM-IMPUTE, and allow for greater flexibility too. Please note, though, that these templates have ...

There are now three principal Stat-JR templates available to support handling missing data in multilevel generalised linear models; these use two different approaches.

The first two templates use ‘multiple imputation’ which is a widely used procedure that will handle a large number of models: a 2 ...