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The (two) choiceRT_lba models are written in a different way from the rest of the models. (Hence they do not make use of hBayesDM_model base function in R package.) Therefore, these models also cannot make use of base.py in the Python package.
Must either refactor the choiceRT_lba models to make use of the base function/class, or maintain these two models separately from all the other models of hBayesDM.
Currently, (while the two are included in the R package), choiceRT_lba & choiceRT_lba_single are not included in the Python package.
The text was updated successfully, but these errors were encountered:
It would be better to implement two models from the first, suitable for our novel structure of hBayesDM package. For now, I will get rid of two models from the R package so to make both R and Python packages have the same number of models.
Have you made any decisions about whether the LBA models will be added back to R or added to Python? Right now, the help pages for hBayesDM in R show the 2 LBA models but of course they are no longer available.
Sorry for the late reply, @mspezio. I'm afraid that we haven't made any decisions yet, and this issue happened to get slipped from our mind in the latest version (v1.1).
Let us solve this issue in the next upcoming version. Thanks for reminding us. :)
The (two)
choiceRT_lba
models are written in a different way from the rest of the models. (Hence they do not make use ofhBayesDM_model
base function in R package.) Therefore, these models also cannot make use ofbase.py
in the Python package.Must either refactor the
choiceRT_lba
models to make use of the base function/class, or maintain these two models separately from all the other models of hBayesDM.Currently, (while the two are included in the R package),
choiceRT_lba
&choiceRT_lba_single
are not included in the Python package.The text was updated successfully, but these errors were encountered: