# Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables

## Documentation for package ‘REndo’ version 2.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

REndo-package | Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
confint.rendo.pstar.lm | Confidence Interval for copula correction models fitted with augmented OLS.
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
REndo | Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
summary.rendo.multilevel | Summarizing Multilevel GMM Estimation with Endogenous Regressors Model Fits