• Models for Continuous Dependent Variables
    • aov : Fit an Analysis of Variance Model
    • arima : Arima models for Time Series Data
    • factor.bayes : Bayesian Factor Analysis
    • ls : Least Squares Regression for Continuous Dependent Variables
    • ls.mixed : Mixed effects linear model
    • ls.net : Social Network Least Squares Regression for Continuous Dependent Variables
    • normal : Normal Regression for Continuous Dependent Variables
    • normal.bayes : Bayesian Normal Linear Regression
    • normal.gam : Generalized Additive Model for Continuous Dependent Variables
    • normal.gee : General Estimating Equation for Normal Regression
    • normal.net : Social Network Normal Regression for Continuous Dependent Variables
    • normal.survey : Survey-Weighted Normal Regression for Continuous Dependent Variables
    • quantile : Quantile Regression for Continuous Dependent Variables
    • rq : Quantile Regression for Continuous Dependent Variables
    • sur : Seemingly Unrelated Regression
    • threesls : Three Stage Least Squares
    • tobit : Linear regression for Left-Censored Dependent Variable
    • tobit.bayes : Bayesian Linear Regression for a Censored Dependent Variable
    • twosls : Two Stage Least Squares
  • Models for Dichotomous Dependent Variables
    • blogit : Bivariate Logistic Regression for Dichotomous Dependent Variables
    • bprobit : Bivariate Probit Regression for Dichotomous Dependent Variables
    • cloglog.net : Social Network Complementary Log Log Regression for Dichotomous Dependent Variables
    • irt1d : One Dimensional Item Response Model
    • irtkd : K-Dimensional Item Response Model
    • logit : Logistic Regression for Dichotomous Dependent Variables
    • logit.bayes : Bayesian Logistic Regression for Dichotomous Dependent Variables
    • logit.gam : Generalized Additive Model for Dichotomous Dependent Variables
    • logit.gee : General Estimating Equation for Logistic Regression
    • logit.mixed : Mixed effects logistic model
    • logit.net : Social Network Logistic Regression for Dichotomous Dependent Variables
    • logit.survey : Survey-Weighted Logistic Regression for Dichotomous Dependent Variables
    • probit : Probit Regression for Dichotomous Dependent Variables
    • probit.bayes : Bayesian Probit Regression for Dichotomous Dependent Variables
    • probit.gam : Generalized Additive Model for Dichotomous Dependent Variables
    • probit.gee : General Estimating Equation for Probit Regression
    • probit.mixed : Mixed effects probit model
    • probit.net : Social Network Probit Regression for Dichotomous Dependent Variables
    • probit.survey : Survey-Weighted Probit Regression for Dichotomous Dependent Variables
    • relogit : Rare Events Logistic Regression for Dichotomous Dependent Variables
  • Models for Ordinal Dependent Variables
    • chopit : Compound Hierarchical Ordinal Probit Regression for Survey Vignettes
    • factor.ord : Ordinal Data Factor Analysis
    • ologit : Ordinal Logistic Regression for Ordered Categorical Dependent Variables
    • oprobit : Ordinal Probit Regression for Ordered Categorical Dependent Variables
    • oprobit.bayes : Bayesian Ordered Probit Regression
  • Models for Continous Bounded Dependent Variables
    • coxph : Cox Proportional Hazard Regression for Duration Dependent Variables
    • exp : Exponential Regression for Duration Dependent Variables
    • gamma : Gamma Regression for Continuous, Positive Dependent Variables
    • gamma.gee : General Estimating Equation for Gamma Regression
    • gamma.mixed : Mixed effects gamma model
    • gamma.net : Social Network Gamma Regression for Continuous, Positive Dependent Variables
    • gamma.survey : Survey-Weighted Gamma Regression for Continuous, Positive Dependent Variables
    • lognorm : Log-Normal Regression for Duration Dependent Variables
    • weibull : Weibull Regression for Duration Dependent Variables
  • Multinomial Choice Models
    • mlogit : Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values
    • mlogit.bayes : Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values
  • Event Count Models
    • negbin : Negative Binomial Regression for Event Count Dependent Variables
    • poisson : Poisson Regression for Event Count Dependent Variables
    • poisson.bayes : Bayesian Poisson Regression
    • poisson.gam : Generalized Additive Model for Event Count Dependent Variables
    • poisson.gee : General Estimating Equation for Poisson Regression
    • poisson.mixed : Mixed effects poisson model
    • poisson.net : Social Network Poisson Regression for Event Count Dependent Variables
    • poisson.survey : Survey-Weighted Poisson Regression for Event Count Dependent Variables
  • Models for Mixed Dependent Variables
    • factor.mix : Mixed Data Factor Analysis
  • Ecological Inference Models
    • ei.dynamic : Quinn's Dynamic Ecological Inference Model
    • ei.hier : Hierarchical Ecological Inference Model for 2 x 2 Tables
    • ei.RxC : Hierarchical Multinomial-Dirichlet Ecological Inference Model for R x C Tables