Calculates the goodness of fit test statistics for contingency tables
a GLM regression model.
either "Chisq" or "Gsq", which determines the type of goodness of fit test that is ran. Defaults to "Chisq".
Further arguments passed to or from other methods.
A list with class "
ct_goodness_of_fit" containing the following components:
test the type of test used.
model the name of the inputted model.
statistic The value of the test statistic as determined by the type parameter
df The number of degrees of freedom.
This equals the number of combinations for explanatory variables less the number of parameters in the model
p.value The p-value calculated under a Chi-Squared distribution.
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lung_logit <- lung_cancer %>% flatten_ct() %>% glm( Lung ~ Smoking ,family = binomial ,data = . ) goodness_of_fit(model = lung_logit, type = "Chisq") lung_logit %>% goodness_of_fit(type = "Gsq") lung_cancer %>% flatten_ct() %>% glm( Lung ~ City + Smoking ,family = binomial ,data = . ) %>% goodness_of_fit()
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