Link functions

• identity
• log
• logit
• probit
• complementary log-log
• odds power
• power
• negative binomial
• log-log
• log-compliment

Families

• Gaussian (normal)
• inverse Gaussian
• Bernoulli/binomial
• Poisson
• negative binomial
• gamma

Choice of estimation method

• maximum likelihood
• iteratively reweighted least squares (IRLS)

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

• 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
  

GEE estimation for panel data

Customizable functions

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

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

• 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

• 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