jamovi

Hi there,

I'm new to jamovi and I think this is a fantastic piece of software!

I have a rather complex longitudinal dataset where I want to examine the effects of drugs and radiation on cell death over time. I also have multiple replicates and wish to include these either as a repeated measure or random factor. As far as I'm concerned, I'm just wanting to focus on the interaction between drug and radiation and its effects on cell death (Dependent variable), but wish to consider both time and replicate number when computing the analysis.

I performed glmer in R where I ran a gamma log link as the residuals of my linear model (lme4) where not normal. However, I'm having trouble trying to run this a similar model in jamovi. I was wondering if something could help/advise me on how to perform a gamma log link correction to my data.

Kind regards,

Dave

hi dave,

see if the GAMLj module serves your needs.

cheers

jonathon

Hi Dave

the upcoming GAMLj new version (1.6.0), due in a week, will allow to run generalized linear models with any combination of distribution and link function known to stats::family(), including Gamma(log). If you need it now, you can find the code here https://github.com/gamlj/gamlj/tree/Version.1.6.0