blr_plot_diag_influence {blorr} | R Documentation |
Influence diagnostics plot
Description
Reisudal diagnostic plots for detecting influential observations.
Usage
blr_plot_diag_influence(model, print_plot = TRUE)
Arguments
model |
An object of class |
print_plot |
logical; if |
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)
[Package blorr version 0.3.0 Index]