1 мар. 2024 г. · I have built a generalised linear mixed effects model using GLMMadaptive in R to estimate and compare treatment effects over time.

24 авг. 2018 г. · The coefficients returned by marginal_coefs() are on the same scale as the fixed effects coefficients, they just have a different interpretation.

6 дек. 2021 г. · Find the parameter estimates for each random term in a binomial GLMM (lme4)? · If you use coef(obj) you will get the random intercepts for each ...

13 дек. 2020 г. · See https://drizopoulos.github.io/GLMMadaptive/ - what you want for marginal odds ratios is the marginal_coefs() function in the GLMMadaptive ...

29 окт. 2023 г. · I want to get marginal estimate and its confidence interval for a binomial model with two random intercepts, but I don't know how to specify ...

I am trying to replicate some Stata code that uses average marginal effects to interpret interaction effects in R.

Is my use and interpretation of GLMMadaptive marginal_coefs() and predict() correct? I have collected count data from a number of subjects over time, before ...

I am attempting to use the marginaleffects package in R to plot the effect of treatment on the outcome across time (ie, dynamic treatment effects).

Is my use and interpretation of GLMMadaptive marginal_coefs() and predict() correct? I have collected count data from a number of subjects over time, before ...