I am running a mixed effects cox model using coxme in R, and I cannot find any information on how to check model assumptions for this type of model. I have seen the older chats, which have recommended ...

I've got a lmer model that looks similar to the following example: library(lme4) df<-data.frame(var_1=c(1.1,2.2,2.1,4.4,4.4,5.6,4.4,2.6,3.3,3.3,3.9,3.8,1.1,1.3,1.4,1.1,1.8,2.1), ...

It is commonly explained that a random effect is used when the values of the variable associated with the random effect are drawn from a population, such as schools in the sample out of schools in the ...

I am working on creating GLMMs to determine the effect of in-air noise on harbor seals. I have a couple other fixed predictor variables (current velocity and time) and some random effects. As I am ...

I am working on creating GLMMs to determine the effect of in-air noise on harbor seals (specifically the number present). I have a couple other fixed predictor variables (current velocity and time) ...

I would like to report the random slopes from a binomial lme4::glmer model along with their confidence or deviations. I am adding the fixed effect to each random effect to obtain slopes, but how do I ...

Tidybayes can make great-looking plots for the output of Bayesian models, but it's not clear (as far as I can see) how to do this for different types of models. So for fixed effects, we can do this (...

I set up a multilevel model in R with the lme4-package to test different effects on social participation in primary school classes. Now I assume that the effects of academic performance (sp) and ...

I was using a gls to model BMI trajectories based on intake of a nutrient, but realised I needed to switch to lme de to the multi-level clustering of my sample (twinID within famID). The code for my ...

I am quite new to R and is setting up a mixed effect model with lmer. I have a large dataset and want to include 3 random effects that are nested. I have data from 2 years, 2021 and 2022, and there ...

I'm fairly new with stats and using glmmTMB and glmer, so bare with my explanation. I'm analyzing data that is looking to see how different socioeconomic variables interact with each other and predict ...

I have survey data involving two categorical IVs (Prompt_Condition and Response_Condition) of three levels each and one ordinal DV (value, a Likert-type ranking 1-7). There are 31 subjects who rated ...

I am trying to run a random effects generalized linear model specifying the family as binomial and a log link to estimate risk ratio (RR) and 95% confidence intervals (CIs). When I run it, I keep ...

I'm analyzing two models of class LME for longitudinal data (observations in two times), but this message appears Error in lme.formula(y ~ x, random = ~1 | id, data = data_long) : nlminb problem, ...

I am looking at data from repeated experiments with 3 participants (hawks). We recorded the number of times we did the experiment with them (about 50x each) so that we could account for their learning ...