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  "Title": "Doubly Robust Estimation of Local Average Treatment Effects",
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  "Authors@R": "c(\nperson(\"Kailas\", \"Venkitasubramanian\", email = \"kailasv@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"S. Derya\", \"Uysal\", role = c(\"ctb\", \"cph\"),\ncomment = \"Author of the original Stata package 'drlate'\"),\nperson(\"Tymon\", \"Sloczynski\", role = c(\"ctb\", \"cph\"),\ncomment = \"Author of the original Stata package 'drlate'\"),\nperson(\"Jeffrey M.\", \"Wooldridge\", role = c(\"ctb\", \"cph\"),\ncomment = \"Author of the original Stata package 'drlate'\"))",
  "Description": "Estimates the local average treatment effect (LATE) and\nthe local average treatment effect on the treated (LATT) using\nobservational data with a binary instrument, implementing the\ncomplete estimator suite of Sloczynski, Uysal, and Wooldridge:\nthe doubly robust estimators of Sloczynski, Uysal, and\nWooldridge (2022) <doi:10.48550/arXiv.2208.01300> -- inverse\nprobability weighted regression adjustment (IPWRA), inverse\nprobability weighting (IPW), augmented inverse probability\nweighting (AIPW), and regression adjustment (RA) -- and the\nAbadie-kappa weighting estimators of Sloczynski, Uysal, and\nWooldridge (2025) <doi:10.1080/07350015.2024.2332763>. Supports\nlinear, logistic, probit, Poisson, and fractional\n(fractional-logit and fractional-probit) outcome and treatment\nmodels, and instrument propensity scores estimated by maximum\nlikelihood, covariate balancing (CBPS), or inverse probability\ntilting (IPT). Standard errors are computed jointly for all\nestimation stages by stacking the moment conditions of every\nmodel into a single M-estimation system; weak-instrument-robust\nFieller confidence sets, cluster-aware bootstrap inference,\ndesign diagnostics, and a doubly robust Hausman-type test of\nunconfoundedness are included. Estimates and standard errors\nare validated against the authors' Stata commands 'drlate'\n(Statistical Software Components S459708) and 'kappalate'\n(S459257).",
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    "User": "root"
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  "Author": "Kailas Venkitasubramanian [aut, cre], S. Derya Uysal [ctb, cph]\n(Author of the original Stata package 'drlate'), Tymon\nSloczynski [ctb, cph] (Author of the original Stata package\n'drlate'), Jeffrey M. Wooldridge [ctb, cph] (Author of the\noriginal Stata package 'drlate')",
  "Maintainer": "Kailas Venkitasubramanian <kailasv@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
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        "1. The problem: a treatment people choose",
        "Why covariates enter",
        "2. The four core estimators in one picture",
        "Why the paper (and the package default) prefers IPWRA",
        "3. A worked example",
        "The naive answers fail",
        "The drlate answer",
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