query: help with lme() for nested random effects factors
positive_passages.docid: 147449
positive_passages.text: Order of nested random effects in lme4
negative_passages.docid: 134729
negative_passages.text: REML or ML to compare two mixed effects models with differing fixed effects, but with the same random effect?
negative_passages.docid: 153894
negative_passages.text: lme4::lmer reports "fixed-effect model matrix is rank deficient", do I need a fix and how to?
negative_passages.docid: 88067
negative_passages.text: Maximum likelihood estimation of p in a Binomial sample
negative_passages.docid: 119563
negative_passages.text: How to build a Mixed Effects Logistic regression Model?
negative_passages.docid: 90880
negative_passages.text: Linear mixed-effects modeling with twin study data
negative_passages.docid: 24087
negative_passages.text: How do I interpret the 'correlations of fixed effects' in my glmer output?
negative_passages.docid: 26034
negative_passages.text: Choosing variables to include in a multiple linear regression model
negative_passages.docid: 103402
negative_passages.text: When and why do I have to use "trait" for multinomial multilevel models with MCMCglmm in R?
negative_passages.docid: 76429
negative_passages.text: Can a variable be both random and fixed effect at the same time in a mixed effect model?
negative_passages.docid: 132428
negative_passages.text: panel data - within-group estimate - individual fixed effects retrieved
negative_passages.docid: 67139
negative_passages.text: Prediction interval for lmer() mixed effects model in R
negative_passages.docid: 95315
negative_passages.text: Reference Request: Generalized Linear Models
negative_passages.docid: 72809
negative_passages.text: GLMM multilevel (hierarchical) model
negative_passages.docid: 6089
negative_passages.text: Can I ignore coefficients for non-significant levels of factors in a linear model?
negative_passages.docid: 146096
negative_passages.text: A priori power analysis for generalized linear mixed-effects model
negative_passages.docid: 30562
negative_passages.text: Does it make sense to include a factor as both fixed and random factor in a Linear Mixed Effects Model?