blr_plot_diag_influence: Influence diagnostics plot

In blorr: Tools for Developing Binary Logistic Regression Models

Description

Reisudal diagnostic plots for detecting influential observations.

Usage

blr_plot_diag_influence(model, print_plot = TRUE)

Arguments

model	An object of class glm.
print_plot	logical; if TRUE, prints the plot else returns a plot object.

Value

A panel of influence diagnostic plots.

References

Fox, John (1991), Regression Diagnostics. Newbury Park, CA: Sage Publications.

Cook, R. D. and Weisberg, S. (1982), Residuals and Influence in Regression, New York: Chapman & Hall.

See Also

Other diagnostic plots: blr_plot_diag_fit(), blr_plot_diag_leverage()

Examples

model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))

blr_plot_diag_influence(model)

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