check.glm.assumptions: GLM Assumptions
In ivanliu1989/RQuant: A collection of generic functions

Description Usage Arguments Value See Also Examples

This function checks the most prevalent model assumptions for LM and GLM models, including multi-collinearity, linearity, distribution check (QQ-plot) and homoscedasticity

1	check.glm.assumptions(model_obj, modelConfig = NULL)

model_obj

model object of the LM or GLM model under scrutiny

The function returns a list. The list entries contain visuals and values illustrating the model's compliance with its relevant model assumptions

glm, lm, pairs.panels

fit <- glm(mpg ~ drat + wt, data=mtcars, family = gaussian())
assessment <- check.glm.assumptions(fit)
print(assessment)
assessment$chk_residuals
assessment$chk_homoscedasticity