summary.ml_g_fit {msme}

A summary method for objects of class ml_g_fit.

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)