blr_residual_diagnostics: Residual diagnostics
In rsquaredacademy/blorr: Tools for Developing Binary Logistic Regression Models
blr_residual_diagnostics R Documentation
Residual diagnostics
Description
Diagnostics for confidence interval displacement and detecting ill fitted
observations.
Usage
blr_residual_diagnostics(model)
Arguments
model
An object of class glm.
Value
C, CBAR, DIFDEV and DIFCHISQ.
Examples
model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))
blr_residual_diagnostics(model)
rsquaredacademy/blorr documentation built on Nov. 12, 2024, 1:44 a.m.
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| blr_residual_diagnostics | R Documentation |
Residual diagnostics
Description
Diagnostics for confidence interval displacement and detecting ill fitted observations.
Usage
blr_residual_diagnostics(model)
Arguments
model |
An object of class |
Value
C, CBAR, DIFDEV and DIFCHISQ.
Examples
model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))
blr_residual_diagnostics(model)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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