summary.mcmlrtsR Documentation

Summarises an mcmlrts fit output

Description

Summary method for class "mcmlrts"

Usage

## S3 method for class 'mcmlrts'
summary(object, ...)

Arguments

object

an object of class "mcmlrts" as a result of a call to fit_ml

...

Further arguments passed from other methods

Details

print.mcmlrts tries to replicate the output of other regression functions, such as lm and lmer reporting parameters, standard errors, and z- and p- statistics. The z- and p- statistics should be interpreted cautiously however, as generalised linear miobjected models can suffer from severe small sample biases where the effective sample size relates more to the higher levels of clustering than individual observations.

Value

A list with random effect names and a data frame with random effect mean and credible intervals