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rplotaxis-labelssjplot

sjPlot plot_model not displaying interaction names

I am running a generalised linear model with a lot of factors and their interactions.

modelFINAL<-  glmer(treatment ~ (1|Household_ID)+(1|Case)+(1|Villages)+
                      ProductionSystem*disease+
                      ProductionSystem*costs+  
                      ProductionSystem*education+ 
                      ProductionSystem*age+
                      costs*income+
                      age+
                      income,
                 data = GLM_data, family = binomial(link='logit'), 
                 control=glmerControl(optimizer="bobyqa",optCtrl=list(maxfun=2e5)))

I want to visualise the model estimations with a forest plot. However, for some reason plot_model won't show the interaction terms on the y axis, it just says "conditional" for all of them (see picture). enter image description here

This is my code:

plot_model(modelFINAL, show.values = TRUE,type='est',sort.est = T,transform=NULL,
 vline.color = "black",title="TITLE")`

I get the same result when I add auto.labels=T in plot_model.

tab_model seems to work fine, however it is inconsistently using and X or a : for interaction terms (see picture). Not sure if that is problematic or not. enter image description here

This problem came up after I updated all my packages and to the new R and R studio versions, so it might be a bug? Or maybe something is wrong with my data? Does someone know what I can do here?

Solution

  • I reached out to the developer. If you update the siPlot and the parameter package it should work now.