Does JM_imp() have different functional_forms?

NErler / JointAI

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

https://nerler.github.io/JointAI

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Does JM_imp() have different functional_forms? #5

Closed mikoSL closed 2 years ago

mikoSL commented 2 years ago

Hi, Thank you very much for such great and interesting package!

I have one question, does JM_imp have different functional forms, which are similar with JMBayes2 package? different functional forms in JMBayes2

Thank you for your time and look forward to hearing more about it. :)

NErler commented 2 years ago

Currently, you can only choose between using the underlying value or the observed/imputed value (via the argument assoc_type. The slope or a cumulative effect is not yet implemented.

Leweibo commented 2 years ago

Could we get the slope or a cumulative effect in the following way? (1) run the JM_imp and then get the Imputed data by get_MIdat function (2) Run the Imputed data in JMBayes2 package

Thanks.