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Hi Shane - sorry it crashed. The issue may be occurring when it's fitting the MOI and there's a clash when its accessing multiple processors; it's a problem another user has experienced before -- an error which is inconsistent in its frequency, but one which is obviously more commonplace than we tho...

Hi - the chains for each parameter in this file will only be as long as the number of iterations you have requested between imputations (which must have been 10?) The 2LevelImpute template will take the first iteration post-burnin for each chain run (the number of chains it runs depends on the numbe...

Hi - thanks for letting us know. Your dataset is quite large (111,000 nested within 50 states), and if you're running it virtually that may indeed add time (one can install Windows on Macs (via Bootcamp) these days, but obviously that requires the relevant licences). However, the Settings in Virtual...

Hi - sorry, my earlier post may have caused some confusion here: looking at your diagnostic plots, it looks like you're plotting the imputed variables themselves, which would explain their curious diagnostics (e.g. tcodec is a continous variable; racerec has four categories; bncat is a binary variab...

Hi Shane,

Just seen your message; did the model run finish?

Best wishes,

Richard

Hi - if the template runs to completion, then the svg files are available for viewing in the results pane (via the drop-down list); if there's been a crash when it's fitting the MOI, however, then this process (of being uploaded onto the results pane drop-down list) may not have completed (or you ma...

Hi - I've answered your questions below - hope that helps. 1) Do the answers to questions specifying the model of interest have any effect? 2) If so, what distribution should be chosen for multinomial outcomes? The MOI inputs in the 2LevelImpute template only have an effect on how the MOI is fit; it...

Hi - thanks for sending that info - it looks like the variable name @_STATE is causing the problem (specifically the @) so we would suggest changing the name of that variable so that it doesn't have any special characters, and re-running - hopefully that will solve the issue.

Best wishes,

Richard

Hi - sorry you're having problems. To help resolve them it would be great if you could please send us a bit more info (the link from the browser window doesn't always include all the info we need): in the command window, which is also open when Stat-JR is running, there will be more output detailing...

Hi, Sorry for the confusion. You can fit categorical response and/or categorical explanatory variables in the imputation model. Currently, however, there isn't support for categorical (other than binary) response variables in the MOI, but we hope to resolve this soon. In the meantime you can take th...