midr (version 0.5.2)

summary.mid: Summarize MID Models

Description

For "mid" objects, an S3 method of summary() prints a comprehensive summary of a fitted MID model.

Usage

# S3 method for mid
summary(object, digits = max(3L, getOption("digits") - 2L), top.n = 10L, ...)

Value

summary.mid() returns the original "mid" object invisibly.

Arguments

object

a "mid" object to be summarized.

digits

the number of significant digits for printing numeric values.

top.n

the maximum number of top-ranked terms to be printed in the MID importance table.

...

arguments to be passed to other methods (not used in this method).

Details

The S3 method summary.mid() generates a comprehensive overview of the fitted MID model. The output includes the following components: (1) "Call" - the function call used to fit the MID model. (2) "Uninterpreted Variation Ratio" - a key metric indicating the proportion of the target model's variance that is not explained by the MID model. Lower values suggest a better fit. (3) "Residuals" - a five-number summary (Min, 1Q, Median, 3Q, Max) of the working residuals. This aids in assessing model fit and identifying potential biases. (4) "Encoding" - a summary of the encoding schemes used for each variable in the MID model. (5) "Importance" - a list of the top terms ranked by their MID importance, which quantifies their average contribution to the model's predictions.

See Also

interpret, print.mid

Examples

# Summarize a fitted MID model
data(cars, package = "datasets")
mid <- interpret(dist ~ speed, cars)
summary(mid)