Link functions

• Identity
• Log
• Logit
• Probit
• Complementary log-log
• Power
• Odds power
• Negative binomial
• Log-log
• Log-complement

Families

• Gaussian (normal)
• Inverse Gaussian
• Bernoulli/binomial
• Poisson
• Negative binomial
• Gamma

Choice of estimation method

• Maximum likelihood
• Iteratively reweighted least squares (IRLS)

Customizable functions

• User-defined link functions
• User-defined variance functions
• User-defined HAC kernels

Choice of variance estimates and standard errors

• Inverse Hessian
• Outer product of the gradients (OPG)
• Observed information matrix
• Expected information matrix
• Robust Huber/White/sandwich estimator
• Robust variance with clustered/correlated data
• Heteroskedasticity- and autocorrelation-consistent (HAC) with Newey–West, Gallant, Anderson, or user-written kernel
• Jackknife
• Bootstrap

GEE estimation for panel data

Predicts

• Expected value of dependent variable
• Anscombe residual
• Cook’s distance
• Deviance residual
• Diagonal of hat matrix
• Likelihood residual
• Pearson residual
• Response residual
• Score residual
• Working residual

Factor variables

• Automatically create indicators based on categorical variables
• Form interactions among discrete and continuous variables
• Include polynomial terms
• Perform contrasts of categories/levels

Marginal analysis

• Estimated marginal means
• Marginal and partial effects
• Average marginal and partial effects
• Least-squares means
• Predictive margins
• Adjusted predictions, means, and effects
• Contrasts of margins
• Pairwise comparisons of margins
• Profile plots
• Graphs of margins and marginal effects

Contrasts

• Analysis of main effects, simple effects, interaction effects, partial interaction effects, and nested effects
• Comparisons against reference groups, of adjacent levels, or against the grand mean
• Orthogonal polynomials
• Helmert contrasts
• Custom contrasts
• ANOVA-style tests
• Contrasts of nonlinear responses
• Multiple-comparison adjustments
• Balanced and unbalanced data
• Contrasts in odds-ratio metric
• Contrasts of means, intercepts, and slopes
• Graphs of contrasts
• Interaction plots

Pairwise comparisons

• Compare estimated means, intercepts, and slopes
• Compare marginal means, intercepts, and slopes
• Balanced and unbalanced data
• Nonlinear responses
• Multiple-comparison adjustments: Bonferroni, Šidák, Scheffé, Tukey HSD, Duncan, and Student–Newman–Keuls adjustments
• Group comparisons that are significant
• Graphs of pairwise comparisons