Tools for Developing Binary Logistic Regression Models
blorr package
Bivariate analysis
Collinearity diagnostics
Confusion matrix
Event rate by decile
Decile lift chart
Gains table & lift chart
Gini index
KS chart
Launch shiny app
Model specification error
Lorenz curve
Model fit statistics
Multi model fit statistics
Concordant & discordant pairs
CI Displacement C vs fitted values plot
CI Displacement C vs leverage plot
Deviance vs fitted values plot
Deviance residual values
DFBETAs panel
CI Displacement C plot
CI Displacement CBAR plot
Delta chisquare plot
Delta deviance plot
Fitted values diagnostics plot
Influence diagnostics plot
Leverage diagnostics plot
Delta chi square vs fitted values plot
Delta chi square vs leverage plot
Delta deviance vs fitted values plot
Delta deviance vs leverage plot
Fitted values vs leverage plot
Leverage vs fitted values plot
Leverage plot
Residual values plot
Residual vs fitted values plot
Decile capture rate data
KS Chart data
Lift Chart data
Lorenz curve data
ROC curve data
Binary logistic regression
Residual diagnostics
ROC curve
Adjusted count R2
Count R2
Cox Snell R2
Effron R2
McFadden's adjusted R2
McFadden's R2
McKelvey Zavoina R2
Cragg-Uhler (Nagelkerke) R2
Response distribution
Two way event rate
Event rate
Stepwise AIC backward elimination
Stepwise AIC selection
Stepwise AIC forward selection
Stepwise backward regression
Stepwise regression
Stepwise forward regression
Hosmer lemeshow test
Likelihood ratio test
Multi variable WOE & IV
WoE & IV
Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.
Useful links