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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.
0
votes
0
answers
729
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[R/emmeans]: select specific contrast in emmeans
I created lmm using lmer.
I want then look at the contrast using emmeans (just an overview below)
$contrasts
contrast estimate SE df lower.CL upper.CL t.ratio p.value
A - B 14 …
3
votes
1
answer
387
views
R: emmeans back tranform clr data using clrInv
I have a set of data that I am transforming using the clr function
library(compositions)
clr(my_data)
Now I used lmer to build mixed effect linear models and I am extracting the estimated means and t …
1
vote
1
answer
137
views
GLMM: Define zero inflation varying across sites
I am fitting a glmm for count data as follow:
glmmTMB(counts ~ treatmens + vegetation + days + (1 + treatments|sites), data = data, family = nbinom1, ziformula = ~1))
As far as I understand the glm …