bootreg: Validating a bootstrap linear regression model

In Antoine-Masse/KefiR: KefiR Package

Validating a bootstrap linear regression model

Description

Validating a bootstrap linear regression model

Usage

bootreg(
  reg,
  data = c(),
  plot = TRUE,
  verbose = TRUE,
  conf.level = 0.95,
  alpha = 0.05,
  iter = 1000
)

Arguments

reg	linear model.
data	a data.frame of values if formula is complex with I() function (Optional).
plot	enable or disable the display of graphical analysis.
verbose	enable or disable the display of the commented analysis.
conf.level	confidence level for validation of the model.
alpha	minimal value accepted for validation of the model and his coefficients.
iter	number of iterations.

Details

bootreg allows to validate a model by bootstrap.

It will draw several times in the values of the model in order to test its robustness.

As an output, we can have a validation or not of the model (analysis=F), or we can have a table expressing the variability of the coefficients, their p-values and their maximum fluctuation values.

Value

A graph of analysis.

Examples

data(mtcars);
corrigraph(mtcars);
reg<- lm(cyl~disp+hp,data=mtcars);
bootreg(reg, verbose=TRUE, plot=TRUE)

Antoine-Masse/KefiR documentation built on Feb. 22, 2024, 5:54 a.m.