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This function provides a compact summary for fitted models.
# S3 method for ml_g_fit summary(object, dig = 3, ...)
the fitted model.
an optional integer detailing the number of significant digits for printing.
other arguments, retained for compatibility with generic method.
the call used to fit the model.
a dataframe of estimates, standard errors, etc.
deviance residuals from the model.
included to match the print.summary.lm function. Lazily set to FALSE for all parameters.
the estimate of the conditional standard deviation of the response variable.
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.
Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.
ml_g
# NOT RUN { data(ufc) ufc <- na.omit(ufc) ufc.g.reg <- ml_g(height.m ~ dbh.cm, data = ufc) summary(ufc.g.reg) # }
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