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0
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1
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40
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Check assumptions of mixed effects cox model
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 ...
3
votes
1
answer
121
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Using sjPlot::plot_model to generate plot of lmer model with log-transformed dependent variable
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),
...
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1
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76
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Random Effects v.s. Random Design Matrix
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 ...
1
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1
answer
301
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How to format a random effect (i.e., + 0 vs. + 1) in my glmmTMB models
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 ...
1
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0
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240
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ar1() or ou() for my glmmTMB models in RStudio?
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) ...
2
votes
1
answer
317
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How can I extract and report the random slopes and confidence from a glmer in R?
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 ...
2
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0
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532
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Plotting brms random effects with tidybayes
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 (...
1
vote
1
answer
182
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How to test more than one random slope in R for significance?
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 ...
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0
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51
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Is it normal that lme + random gives lower estimates than gls?
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 ...
1
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1
answer
270
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How to specify year for nested random effect?
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 ...
1
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0
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303
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glmmTMB and nested random effects
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 ...
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0
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75
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Why would repeated measures random effects model values from polr() (in MASS package in R) be identical for all data points?
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 ...
0
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0
answers
783
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how do I fix this glmer error in r: PIRLS loop resulted in NaN value
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 ...
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45
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I need help in estimates lme models
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, ...
0
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1
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765
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Repeated measures in random effect lmer
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 ...