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  "Package": "REndo",
  "Title": "Fitting Linear Models with Endogenous Regressors using Latent\nInstrumental Variables",
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  "Date": "2026-05-06",
  "Authors@R": "c(\nperson(given=\"Raluca\", family=\"Gui\",         email = \"raluca.gui@gmail.com\",            role = c(\"cre\",\"aut\")),\nperson(given=\"Markus\", family=\"Meierer\",     email = \"markus.meierer@business.uzh.ch\",  role = \"aut\"),\nperson(given=\"Rene\",   family=\"Algesheimer\", email = \"market-research@business.uzh.ch\", role = \"aut\"),\nperson(given=\"Patrik\", family=\"Schilter\",    email = \"patrik.schilter@gmail.com\",       role = \"aut\"),\nperson(given=\"Kimberly-Anne\", family=\"Lew Chuk Wai\", email=\"kimberlylew12@gmail.com\",   role = \"aut\"))",
  "Description": "Fits linear models with endogenous regressor using latent\ninstrumental variable approaches. The methods included in the\npackage are Lewbel's (1997) <doi:10.2307/2171884> higher\nmoments approach as well as Lewbel's (2012)\n<doi:10.1080/07350015.2012.643126> heteroscedasticity approach,\nPark and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint\nestimation method that uses Gaussian copula and Kim and Frees's\n(2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized\nmethod of moment approach that deals with endogeneity in a\nmultilevel setting. These are statistical techniques to address\nthe endogeneity problem where no external instrumental\nvariables are needed. See the publication related to this\npackage in the Journal of Statistical Software for more\ndetails: <doi:10.18637/jss.v107.i03>. Note that with version\n2.0.0 sweeping changes were introduced which greatly improve\nfunctionality and usability but break backwards compatibility.",
  "License": "GPL-3",
  "URL": "https://github.com/mmeierer/REndo",
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  "Author": "Raluca Gui [cre, aut],\nMarkus Meierer [aut],\nRene Algesheimer [aut],\nPatrik Schilter [aut],\nKimberly-Anne Lew Chuk Wai [aut]",
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      "title": "Fitting Linear Models with Endogenous Regressors using Lewbel's Higher Moments Approach",
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      "topics": [
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      "title": "Predict method for fitted Regression Models with Internal Instrumental Variables",
      "topics": [
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      "page": "predict.rendo.latent.IV",
      "title": "Predict method for Models using the Latent Instrumental Variables approach",
      "topics": [
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      "page": "predict.rendo.multilevel",
      "title": "Predict method for Multilevel GMM Estimations",
      "topics": [
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    {
      "page": "REndo",
      "title": "Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables",
      "topics": [
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        "REndo"
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    {
      "page": "summary.rendo.copula.correction",
      "title": "Summarizing Bootstrapped copulaCorrection Model Fits",
      "topics": [
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