summary.ml_g_fit: A summary method for objects of class ml_g_fit.

In msme: Functions and Datasets for "Methods of Statistical Model Estimation"

Description

This function provides a compact summary for fitted models.

Usage

## S3 method for class 'ml_g_fit'
summary(object, dig = 3, ...)

Arguments

object	the fitted model.
dig	an optional integer detailing the number of significant digits for printing.
...	other arguments, retained for compatibility with generic method.

Details

The function prints out a summary and returns an invisible list with useful objects. The output is structured to match the print.summary.lm function.

Value

call	the call used to fit the model.
coefficients	a dataframe of estimates, standard errors, etc.
residuals	deviance residuals from the model.
aliased	included to match the print.summary.lm function. Lazily set to FALSE for all parameters.
sigma	the estimate of the conditional standard deviation of the response variable.

Author(s)

Andrew Robinson and Joe Hilbe.

References

Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.

See Also

ml_g

Examples

data(ufc)
ufc <- na.omit(ufc)

ufc.g.reg <- ml_g(height.m ~ dbh.cm, data = ufc)

summary(ufc.g.reg)

msme documentation built on May 2, 2019, 5:07 a.m.