Deviance Logistic Regression R. Conduct a likelihood ratio or deviance test for LI. How to reduce a categorical variable in a logistic regression model in R.
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The larger the deviance the poorer the fit. It has nothing to do with p-values. Logistic regression uses a method known as maximum likelihood estimation to find an equation of the following form.
The smaller the deviance the closer the fitted value is to the saturated model.
AIC 2k - 2 log L 2k Deviance where k number of parameters Small numbers are better. In order to test for significance we can find out associated p-values using the below formula in R. 1 yielding a log-likelihood equal to 0. 23467 on 188 degrees of freedom Residual deviance.
