summary.cbc_lm {OLStrajr}

Summary Method for 'cbc_lm' Objects

Description

Summary method for 'cbc_lm' objects. Returns the mean coefficients, bootstrap mean coefficients, standard errors, and confidence intervals, as well as a summary of the models.

Usage

## S3 method for class 'cbc_lm'
summary(
  object,
  digits = max(3L, getOption("digits") - 3L),
  boot = FALSE,
  n_models = length(object$models),
  ...
)

Arguments

object

A 'cbc_lm' object.

digits

The number of significant digits to use when printing.

boot

Logical indicating whether or not to include the bootstrap mean coefficients in the summary.

n_models

The number of models to include in the summary. Defaults to all models.

...

Further arguments passed to or from other methods.

Value

An object of class 'summary.cbc_lm', which includes the call, the mean coefficients, (optionally) the bootstrap mean coefficients, standard errors, confidence intervals, and a summary of the models.

See Also

print.cbc_lm, plot.cbc_lm