R: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables

# Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables

## Documentation for package ‘REndo’ version 2.5.0

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

## Help Pages

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
copulaIMA | Copula-based Instrumental Variable Model (IMA)
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
dataCopIMABinExo | Simulated Dataset for Copula IMA - Binary Exogenous Regressor
dataCopIMAContExo | Simulated Dataset for Copula IMA - Continuous Exogenous Regressor
dataCopIMAMultiEndo | Simulated Dataset for Copula IMA - Two Continuous Endogenous Regressors, Intercept and No Exogenous Regressor
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