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Random Intercept Model

rmndrs89rmndrs89
in JASP & BayesFactor

Dear all,

I have following the tutorial on Longitudinal Data Analysis that can be found here:

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https://github.com/keithlohse/LMER_Clinical_Science/tree/master/ACRM_2021
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I wanted to replicate these results in JASP using the Mixed Models module.

For the first model, in R, I would write:

raneff_int <- lmer(rasch_FIM ~ 1 + (1|subID), data=DATA, REML=FALSE) 

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How do I add the initial "1" as a fixed effect in JASP? If I try to brute force it in the R Console and hit Ctrl + ENTER, it does not work either?


Best regards,

Robbin

Comments

  • EJEJ

    I've asked the team for support.

    EJ

  • rmndrs89rmndrs89

    Hi EJ,

    is there any follow up for this?


    Best regards,

    Robbin

  • FrantišekFrantišek

    Hi Robbin,

    Sorry for not responding to this for so long, I lost the email in my mailbox.

    The good news is that since your question we released a new version of JASP that allows to fit random intercept models, so you should be able to get the estimates now!

    Cheers,

    Frantisek

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