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) }