lme4 is an R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
I am running several linear mixed models for an study about birds with the variable nest as a random variable. …
r lme4 mixed-modelsI would like to make an interaction plot to visually display the difference or similarity in slopes of interaction of …
r plot interaction lme4 mixed-modelsI can use gls() from the nlme package to build mod1 with no random effects. I can then compare mod1 …
r lme4 mixed-models nlmeAs many other people, I'm having troubles running a model which uses glmer function from package lme4. Here is my …
r warnings lme4I have to run a lmer with a log transformed response variable, a continuous variable as fixed effect and and …
r optimization lme4 mixed-modelsI wonder how to fit multivariate linear mixed model with lme4. I fitted univariate linear mixed models with the following …
r lme4I'm trying to fit a mixed effects model and then use that model to generate estimates on a new dataset …
r prediction lme4 mixed-models random-effectsI'm analysing my binomial dataset with R using a generalized linear mixed model (glmer, lme4-package). I wanted to make …
r lme4So here's my problem. I have a data set in R that I need to run a mixed effects model …
r syntax-error lme4 lmerI have data on the diversity of pathogens infecting a particular host species across latitudes. The design involved collecting 20 individuals …
r nested lme4