Comments (3)
You can post also on discourse if you want as I have an account there, but it doesn't much matter.
You are actually in luck! The next feature that I am going to implement is exactly what you are talking about. So your issue request is only further motivation! I am going to implement index creation to enable people with survey and other types of data to use all the outcomes available in the package (discrete, counts, continuous) in the same model. The data will still be fed into the program in long format but it will include a column that indicates the distribution for each row.
I'm probably going to cap ordinal responses at a max of 10 as I have to hard-code each one. Let me know if that would be a problem.
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That's great to hear! 10 will handle almost all my use cases. I look forward to testing!
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this is now implemented in the new beta release (you need to pass a column model_id
to id_make
with an integer number for each model type per item_id
(see id_estimate
help files for the full list of models.
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Related Issues (20)
- Select all that apply type questions HOT 2
- could not find function "run_id" HOT 8
- Examples contain syntax errors HOT 3
- Installation errors HOT 1
- Covariates specific to one person HOT 3
- Function for extracting parameters HOT 1
- Seed and ensuring replicability HOT 1
- Installing problem HOT 6
- Multidimensions HOT 2
- Error running id_estimate() HOT 15
- Generalized Graded Unfolding Model HOT 2
- Installation problem - rlang? HOT 8
- Ordinal IRT not running HOT 23
- Can't install because of deprecated function "rlang::parse_quosure" HOT 1
- Outdated Syntax Error HOT 1
- GRM summary error finding item parameters + multiple difficulty parameters? HOT 3
- How to use 2PL & GRM on different items in same model? HOT 1
- Duplicate names error with example in vignette HOT 2
- fixing modes with variational inference HOT 5
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