Agency labor relations specialists support agency leadership to help mitigate the risk of committing violations of the Federal Service Labor-Management Relations Statute (the …

For lmer this can be a numeric vector or a list with one component named theta, specifying the covariance parameters for the model. For glmer it can include one or both of (1) theta and (2) …

Definition of LMER in Military and Government. What does LMER stand for?

Jul 23, 2025 · In R, the lme4 package provides robust functions to fit linear mixed-effects models. This article will guide you through the concepts of LME, how to implement them in R …

The gold standard for fitting linear mixed-effects models in R is the lmer() (for l inear m ixed- e ffects r egression) in the lme4 package. This function takes the following arguments (amongst …

There's a lot of discussion going on on this forum about the proper way to specify various hierarchical models using lmer. I thought it would be great to have all the information in one …

In this guide I have compiled some of the more common and/or useful models (at least common in clinical psychology), and how to fit them using nlme::lme () and lme4::lmer ().

The default in lmer is to fit models using the REML (REstricted Maximum Likelihood) criterion. There are good reasons for this, but we often use the likelihood ratio test to compare models …

The lmer function is composed of four largely independent modules. In the first module, a mixed-model formula is parsed and converted into the inputs required to specify a linear mixed model …

LME an extension of the General Linear Model that underlies simpler approaches such as ANOVA, t-test, and classical regression. Many people assume that 'linear models' can only …