stargazer supports objects from the most widely used statistical functions and packages. In particular, the package supports model objects from aftreg (eha), arima (stats), betareg (betareg), binaryChoice (sampleSelection), bj (rms), brglm (brglm), censReg (censReg), coeftest (lmtest), coxph (survival), coxreg (eha), clm (ordinal), clogit (survival), cph (rms), dynlm (dynlm), ergm (ergm), errorsarlm (spdev), felm (lfe), gam (mgcv), garchFit (fGarch), gee (gee), glm (stats), Glm (rms), glmer (lme4), glmrob (robustbase), gls (nlme), Gls (rms), gmm (gmm), heckit (sampleSelection), hetglm (glmx), hurdle (pscl), ivreg (AER), lagarlm (spdep), lm (stats), lme (nlme), lmer (lme4), lmrob (robustbase), lrm (rms), maBina (erer), mclogit (mclogit), mlogit (mlogit), mnlogit (mnlogit), mlreg (eha), multinom (nnet), nlme (nlme), nlmer (lme4), ols (rms), pgmm (plm), phreg (eha), plm (plm), pmg (plm), polr (MASS), psm (rms), rem.dyad (relevent), rlm (MASS), rq (quantreg), Rq (rms), selection (sampleSelection), svyglm (survey), survreg (survival), tobit (AER), weibreg (eha), zeroinfl (pscl), as well as from the implementation of these in zelig. In addition, stargazer also supports the following zelig models: “relogit”, “cloglog.net”, “gamma.net”, “probit.net” and “logit.net”.