blr_step_aic_backward: Stepwise AIC backward elimination

In blorr: Tools for Developing Binary Logistic Regression Models

Description

Build regression model from a set of candidate predictor variables by removing predictors based on akaike information criterion, in a stepwise manner until there is no variable left to remove any more.

Usage

blr_step_aic_backward(model, ...)

## Default S3 method:
blr_step_aic_backward(model, progress = FALSE, details = FALSE, ...)

## S3 method for class 'blr_step_aic_backward'
plot(x, text_size = 3, print_plot = TRUE, ...)

Arguments

model	An object of class glm; the model should include all candidate predictor variables.
...	Other arguments.
progress	Logical; if TRUE, will display variable selection progress.
details	Logical; if TRUE, will print the regression result at each step.
x	An object of class blr_step_aic_backward.
text_size	size of the text in the plot.
print_plot	logical; if TRUE, prints the plot else returns a plot object.

Value

blr_step_aic_backward returns an object of class "blr_step_aic_backward". An object of class "blr_step_aic_backward" is a list containing the following components:

model	model with the least AIC; an object of class glm
candidates	candidate predictor variables
steps	total number of steps
predictors	variables removed from the model
aics	akaike information criteria
bics	bayesian information criteria
devs	deviances

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

See Also

Other variable selection procedures: blr_step_aic_both(), blr_step_aic_forward(), blr_step_p_backward(), blr_step_p_forward()

Examples

## Not run: 
model <- glm(honcomp ~ female + read + science + math + prog + socst,
data = hsb2, family = binomial(link = 'logit'))

# elimination summary
blr_step_aic_backward(model)

# print details of each step
blr_step_aic_backward(model, details = TRUE)

# plot
plot(blr_step_aic_backward(model))

# final model
k <- blr_step_aic_backward(model)
k$model


## End(Not run)

blorr documentation built on July 2, 2020, 2:15 a.m.