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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 views

[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 …
efrem's user avatar
  • 342
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 …
efrem's user avatar
  • 342
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 …
efrem's user avatar
  • 342