Pseudo R2 In R. The pseudo- R 2 in logistic regression is defined as 1 L 1 L 0 where L 0 represents the log likelihood for the constant-only. Pseudo r2 in mixed effect model.
The pseudo- R 2 in logistic regression is defined as 1 L 1 L 0 where L 0 represents the log likelihood for the constant-only. 2 The corrected formula isR 2 N R 2 CS 1 2N 0 R 2 CS 1 e 2N ln 0 Equation OS43The first two measures are often similar but rarely identical in value. Consequently this formula corresponds to a proportional reduction in error variance.
Where n is the sample size.
Model and L 1 is the log likelihood for the full model with constant and predictors. Snell R -square that adjusts the scale of the statistic to cover. 2 The corrected formula isR 2 N R 2 CS 1 2N 0 R 2 CS 1 e 2N ln 0 Equation OS43The first two measures are often similar but rarely identical in value. Efrons mirrors approaches 1 and 3 from the list abovethe model residuals are squared summed and divided by the total variability in the dependent variable and this R-squared is also equal to the squared correlation between the predicted values and actual values.
