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  "Package": "lpmec",
  "Title": "Measurement Error Analysis and Correction Under Identification\nRestrictions",
  "Version": "1.1.4",
  "Author": "Connor Jerzak [aut, cre], Stephen Jessee [aut]",
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  "Description": "Implements methods for analyzing latent variable models\nwith measurement error correction, including Item Response\nTheory (IRT) models. Provides tools for various correction\nmethods such as Bayesian Markov Chain Monte Carlo (MCMC),\nover-imputation, bootstrapping for robust standard errors,\nOrdinary Least Squares (OLS), and Instrumental Variables (IV)\nbased approaches. Supports flexible specification of observable\nindicators and groupings for latent variable analyses in social\nsciences and other fields. Methods are described in a working\npaper (2025) <doi:10.48550/arXiv.2507.22218>.",
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