Discrete Choice Analysis Tools

Binary and count models

• Binary probit
• Binary logit
• Negative binomial regression
• Poisson regression

Multinomial logit models

• Conditional logit
• Nested logit
• Ordered logit
• Adjacent category logit
• Stereotype logit

Logistic regression modelling

• L2/L1 regularized classifiers
• L2/L1-loss linear SVM

Accessible, storable, and exportable output

• Parameter estimates
• Variance-covariance matrix for coefficient estimates and marginal effects
• Categorical dependent variables percentages
• Data descriptions of all independent variables
• Marginal effects of independent variables
• Predicted counts and residuals

Model Selection and assessment

• Full model and restricted model log-likelihoods
• Chi-square statistic
• Agresti’s G-squared statistic
• McFadden’s Pseudo R-squared
• Madalla’s Pseudo R-squared
• Akaike information criterion (AIC)
• Bayesian information criterion (BIC)
• Likelihood ratio statistics and accompanying probability values
• McKelvey and Zovcina’s psuedo R-Squared
• Cragg and Uhler’s normed likelihood ratios
• Count R-Squared
• Adjusted count R-Squared