| print.glmmML {glmmML} | R Documentation |
A glmmML object is the output of glmmML.
print.glmmML(x, digits = max(3, getOption("digits") - 3), na.print = "", ...)
x |
The glmmML object |
digits |
Number of printed digits. |
na.print |
How to print NAs |
... |
Additional parameters, which are ignored. |
Nothing in particular.
A short summary of the object is printed.
This is the only summary method available for the moment.
Göran Broström
Broström (2003)
## The function is currently defined as
function (x, digits = max(3, getOption("digits") - 3), na.print = "",
...)
{
cat("\nCall: ", deparse(x$call), "\n\n")
cat("Coefficients:\n")
print.default(format(x$coefficients, digits = digits), print.gap = 2,
quote = FALSE)
cat("Standard errors:\n")
print.default(format(x$sd, digits = digits), print.gap = 2,
quote = FALSE)
if(x$mixed){
cat("Standard deviation in mixing distribution: ", x$sigma, "\n")
cat("Std. Error: ", x$sigma.sd, "\n")
}
cat("\nDegrees of Freedom:",
x$df.residual, "Residual\n")
cat("Residual Deviance:",
format(signif(x$deviance, digits)),
"\tAIC:",
format(signif(x$aic, digits)), "\n")
invisible(x)
}