summary.ml_g_fit function

A summary method for objects of class ml_g_fit.

This function provides a compact summary for fitted models.

## 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.

Returns

• 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.

References

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

Author(s)

Andrew Robinson and Joe Hilbe.

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)