robust_regression: Robust regression (bootstrapped regression)

In kim: A Toolkit for Behavioral Scientists

Robust regression (bootstrapped regression)

Description

Estimate coefficients in a multiple regression model by bootstrapping.

Usage

robust_regression(
  data = NULL,
  formula = NULL,
  sigfigs = NULL,
  round_digits_after_decimal = NULL,
  iterations = 1000
)

Arguments

data	a data object (a data frame or a data.table)
formula	a formula object for the regression equation
sigfigs	number of significant digits to round to
round_digits_after_decimal	round to nth digit after decimal (alternative to sigfigs)
iterations	number of bootstrap samples. The default is set at 1000, but consider increasing the number of samples to 5000, 10000, or an even larger number, if slower handling time is not an issue.

Details

The following package(s) must be installed prior to running this function: Package 'boot' v1.3-26 (or possibly a higher version) by Canty & Ripley (2021), https://cran.r-project.org/package=boot

Examples

## Not run: 
robust_regression(
  data = mtcars, formula = mpg ~ cyl * hp,
  iterations = 100
)

## End(Not run)

kim documentation built on Oct. 9, 2023, 5:08 p.m.