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boundary (singular) fit problems in Mixed Effect Negative Binomial Model
I am running a linear mixed models for a study about scRNAseq with the variable leiden( meaning different clusters) as a random variable. The thing is that I got what is called 'boundary (singular) fit ': my random variable has a variance and Std.Dev. close to 0
my model is like
my_formula <- y ~ GENE_a+ GENE_b + n_genes + percent_mito + (1 | leiden) myFit <- glmer.nb(formula(my_formula), data = allMat, control = glmerControl(optimizer="bobyqa", calc.derivs = FALSE))