print.mcml: Prints an mcml fit output

In samuel-watson/glmmr: Design and analysis for generalised linear mixed models in R

Prints an mcml fit output

Description

Print method for class "'mcml'"

Usage

print.mcml(x, digits = 2, ...)

Arguments

x	an object of class "'mcml'" as a result of a call to MCML, see Design
digits	Number of digits to print
...	Further arguments passed from other methods

Details

'print.mcml' 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 mixed models can suffer from severe small sample biases where the effective sample size relates more to the higher levels of clustering than individual observations.

Parameters 'b' are the mean function beta parameters, parameters 'cov' are the covariance function parameters in the same order as '$covariance$parameters', and parameters 'd' are the estimated random effects.

Value

TBC

samuel-watson/glmmr documentation built on July 27, 2022, 10:30 p.m.