Closed peter159 closed 7 months ago
Hey Peter!
Previously, I did a comparison study using different classification datasets on both tools. The good news is, the results were pretty similar across four datasets. To make it easier for you, I've put together a brief PowerPoint presentation summarizing my findings. You can find it attached.
comparison.pptx
Input Data For StepMix and LatentGold:
LCA.zip
Output from LatentGold:
LG.zip
NOTE: The results heavily depend on the hyperparamters. Since both tools use few different methodlogies as I mentioned in the pptx, It is not possible to make 100% matched hyperparameters values between both tools.
We did a simulation comparison of StepMix and Latent Gold in our preprint for parameter point estimates. Compare table 3 and 4 for example. Both tools yield very similar results.
I'd like to also understand, what if I have continuous, categorical, and binary data with missing values, how do I express a model with response variable and covarites using stepmix package ? for e.g. estimating a latent class regression ? @sachaMorin @MostafaAbdelrashied
We definitely need a better example of a complete model with all these options. In the meantime, I posted an example in issue #35 .
We definitely need a better example of a complete model with all these options. In the meantime, I posted an example in issue #35 .
thanks,I'll take some test it with real data,in any case it means this package is flexible expressing different model forms
Closing. Feel free to reopen if we can help with anything else!
Hi, this is a insightful package, do you have any info about comparing your package result with Latent gold software ?