It seems that the estimates reported in tab_model() are the exp() of the estimates reported in summary(). E.g.
summary(glmer...)
Intercept: 33.9347193
tab_model(glmer...)
Intercept: 546589587560955.62
exp(33.9347193) = 5.465896e+14
I note that by default tab_model will automatically use "exp" as transformation of estimates for applicable classes of model (e.g. logistic or poisson regression), though this automatic transformation does not seem applicable when family=Gamma(link="identity") is specified.
Please forgive me if I have misunderstood the reported estimates or the intention of tab_model here.
Thank you for creating such useful packages.
Best regards,
Estimates listed in tab_model output differ from those reported in summary(glmer( . . . )) for glmer models with family=Gamma(link="identity").
Example:
data(cake)
summary(glmer(angle~recipe*temperature + (1|recipe:replicate),cake,family=Gamma(link="identity")))
tab_model(glmer(angle~recipe*temperature + (1|recipe:replicate),cake,family=Gamma(link="identity")))
It seems that the estimates reported in tab_model() are the exp() of the estimates reported in summary(). E.g.
summary(glmer...) Intercept: 33.9347193
tab_model(glmer...) Intercept: 546589587560955.62
exp(33.9347193) = 5.465896e+14
I note that by default tab_model will automatically use "exp" as transformation of estimates for applicable classes of model (e.g. logistic or poisson regression), though this automatic transformation does not seem applicable when family=Gamma(link="identity") is specified.
Please forgive me if I have misunderstood the reported estimates or the intention of tab_model here. Thank you for creating such useful packages. Best regards,