- Basic Linear Regressions
- exp: Exponential regression and simulation
- gamma: Gamma regression and simulation
- logit: Logit regression and simulation
- lognorm: Lognormal regression and simulation
- ls: Least Squares regression and simulation
- negbin: Negative Binomial regression and simulation
- normal: Normal (Gaussian) regression and simulation
- poisson: Poisson regression and simulation
- probit: Probit regression and simulation
- relogit: Rare events logit regression and simulation
- tobit: Regression for classical tobit model
- weibull: Weibull regression and simulation
- Logit and Probit Regressions
- blogit: Bivariate Logit regression and simulation
- bprobit: Bivariate Probit regression and simulation
- mlogit: Multinomial Logit regression and simulation
- ologit: Ordinal Logit regression and simulation
- oprobit: Ordinal Probit regression and simulation
- General Additive Models
- logit.gam: Generalized Additive Model for Dichotomous Dependent Variables
- normal.gam: Generalized Additive Model for Continuous Dependent Variables
- poisson.gam: Generalized Additive Model for Count Dependent Variables
- probit.gam: Generalized Additive Model for Dichotomous Dependent Variable
- Social Network Regressions
- ls.net: Network analysis least squares
- logit.net: Network analysis logit
- cloglog.net: Social Network Complementary Log Log Regression for Dichotomous Dependent Variables
- gamma.net: Social Network Gamma Regression for Continuous, Positive Dependent Variables
- normal.net: Social Network Normal Regression for Continuous Dependent Variables
- poisson.net: Social Network Poisson Regression for Event Count Dependent Variables
- probit.net: Social Network Probit Regression for Dichotomous Dependent Variables
- Bayesian Regressions
- normal.bayes: MCMC regression model and simulation
- logit.bayes: MCMC logistic regression model and simulation
- probit.bayes: MCMC probit regression model and simulation
- tobit.bayes: MCMC tobit regression model and simulation
- poisson.bayes: MCMC poisson regression model and simulation
- mlogit.bayes: MCMC multinomial regression model and simulation
- oprobit.bayes: MCMC ordered probit regression model and simulation
- factor.bayes: MCMC factor analysis
- factor.ord: MCMC factor analysis for ordinal data
- factor.mix: MCMC factor analysis for mixed data
- Ecological Inference
- ei.RxC: RxC ecological inference via penalized least-squares
- ei.hier: Hierarchical Ecological Inference model and simulation
- ei.dynamic: Dynamic Ecological Inference model and simulation
- Extended Least Squares Regressions
- twosls: Two Stage Least Squares
- threesls: Three Stage Least Squares
- General Estimating Equation Regressions
- logit.gee: GEE logistic regression
- gamma.gee: GEE gamma regression
- normal.gee: GEE normal regression
- poisson.gee: GEE poisson regression
- probit.gee: GEE probit regression
- Multilevel (a.k.a. "linear Hierarchical" or "Mixed-Effect") Regressions
- ls.mixed: Mixed effects linear regression
- logit.mixed: Mixed effects logistic regression
- gamma.mixed: Mixed effects gamma regression
- poisson.mixed: Mixed effects poisson regression
- probit.mixed: Mixed effects probit regression
- Survey-weighted Regressions
- normal.survey: Survey-Weighted Normal Regression for Continuous Dependent Variables
- logit.survey: Survey-Weighted Logistic Regression for Dichotomous Dependent Variables
- probit.survey: Survey-Weighted Probit Regression for Dichotomous Dependent Variables
- poisson.survey: Survey-Weighted Poisson Regression for Event-count Dependent Variables
- gamma.survey: Survey-Weighted Poisson Regression for Positive Continuous Dependent Variables
- Other Models:
- aov: Analysis of Variance Model
- arima: Arima models
- chopit: Compound Hierarchical Ordered Probit regression conditional: Conditional prediction
- coxph: Cox Proportional Hazard Regression for Duration Dependent Variables
- sur: Seemingly Unrelated Regression
