What is Glmer NB?

Description. Fits a generalized linear mixed-effects model (GLMM) for the negative binomial family, building on glmer , and initializing via theta.ml from MASS.

What is LMER in R?

Mixed-model formulas. Like most model-fitting functions in R, lmer takes as its first two arguments a formula spec- ifying the model and the data with which to evaluate the formula. This second argument, data, is optional but recommended and is usually the name of an R data frame.

What is K in negative binomial distribution?

It is the probability distribution of a certain number of failures and successes in a series of independent and identically distributed Bernoulli trials. For k + r Bernoulli trials with success probability p, the negative binomial gives the probability of k successes and r failures, with a failure on the last trial.

What is the difference between LMER and Glmer?

The lmer() function is for linear mixed models and the glmer() function is for generalized mixed models.

Why is REML false?

If your random effects are nested, or you have only one random effect, and if your data are balanced (i.e., similar sample sizes in each factor group) set REML to FALSE, because you can use maximum likelihood. If your random effects are crossed, don’t set the REML argument because it defaults to TRUE anyway.

What is REML in statistics?

In statistics, the restricted (or residual, or reduced) maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit of all the information, but instead uses a likelihood function calculated from a transformed set of data, so that …

What is the use of optional list in glmer?

optional list, like the output of glmerControl () , used in refit (*, control = control.nb) during the optimization ( control, if included in , will be used in the initial-stage glmer (…,family=poisson) fit, and passed on to the later optimization stages as well)

How to enable verbose=true in glmer () calls?

Use verbose = 2 (or larger) to enable verbose=TRUE in the glmer () calls. optional list, like the output of glmerControl () , used in refit (*, control = control.nb) during the optimization ( control, if included in , will be used in the initial-stage glmer (…,family=poisson) fit, and passed on to the later optimization stages as well)

What is the difference between GLM and nlmer?

lmer (for details on formulas and parameterization); glm for Generalized Linear Models ( without random effects). nlmer for nonlinear mixed-effects models. glmer.nb to fit negative binomial GLMMs.

Is there any inference available for the dispersion parameter in glmer?

Parts of glmer.nb () are still experimental and methods are still missing or suboptimal. In particular, there is no inference available for the dispersion parameter θ, yet.