Advanced Regression

Many regression families plus diagnostics, interactions, robust SEs, and model comparison.

Advanced Regression goes beyond the basic linear model with interaction builders, robust/clustered standard errors, influence diagnostics (Cook’s D, DFBETAs, leverage), and side-by-side model comparison with AIC/BIC and likelihood-ratio tests.

Model families

Linear with regularization: ridge, lasso, elastic-net
Generalized linear: logistic, Poisson, negative binomial
Ordinal and multinomial logistic
Quantile regression and mixed-effects (multilevel) models

Diagnostics & comparison

Influence: Cook’s D, DFBETAs, leverage, multicollinearity (VIF)
Robust and cluster-robust standard errors
Interaction builders with marginal-effect plots
Model comparison: AIC / BIC and likelihood-ratio tests

Screenshot coming soon

/public/media/advanced-regression-diagnostics.png

Residual diagnostics panel with Cook’s distance and QQ plot.

Statistical tests (70)

Power analysis