| REndo-package | Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables |
| confint.rendo.boots | Confidence Intervals for Bootstrapped Model Parameters |
| copulaCorrection | Fitting Linear Models Endogenous Regressors using Gaussian Copula |
| dataCopCont | Simulated Dataset with One Endogenous Continuous Regressor |
| dataCopCont2 | Simulated Dataset with Two Endogenous Continuous Regressor |
| dataCopDis | Simulated Dataset with One Endogenous Discrete Regressor |
| dataCopDis2 | Simulated Dataset with Two Endogenous Discrete Regressors |
| dataCopDisCont | Simulated Dataset with Two Endogenous Regressors |
| dataHetIV | Simulated Dataset with One Endogenous Continuous Regressor |
| dataHigherMoments | Simulated Dataset with One Endogenous Regressor |
| dataLatentIV | Simulated Dataset with One Endogenous Continuous Regressor |
| dataMultilevelIV | Multilevel Simulated Dataset - Three Levels |
| hetErrorsIV | Fitting Linear Models with Endogenous Regressors using Heteroskedastic Covariance Restrictions |
| higherMomentsIV | Fitting Linear Models with Endogenous Regressors using Lewbel's Higher Moments Approach |
| latentIV | Fitting Linear Models with one Endogenous Regressor using Latent Instrumental Variables |
| multilevelIV | Fitting Multilevel GMM Estimation with Endogenous Regressors |
| predict.rendo.copula.correction | Predict method for Models using the Gaussian Copula Approach |
| predict.rendo.ivreg | Predict method for fitted Regression Models with Internal Instrumental Variables |
| predict.rendo.latent.IV | Predict method for Models using the Latent Instrumental Variables approach |
| predict.rendo.multilevel | Predict method for Multilevel GMM Estimations |
| REndo | Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables |
| summary.rendo.copula.correction | Summarizing Bootstrapped copulaCorrection Model Fits |
| summary.rendo.latent.IV | Summarizing latentIV Model Fits |
| summary.rendo.multilevel | Summarizing Multilevel GMM Estimation with Endogenous Regressors Model Fits |
| vcov.rendo.boots | Calculate Variance-Covariance Matrix for Models Fitted with Bootstrapped Parameters |