Listing of Models Along with their Descriptions

  • 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