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This includes functions for analysis with error-prone covariates, including deconvolution, latent regression and errors-in-variables regression. It implements methods by Rabe-Hesketh et al. (2003) doi:10.1191/1471082x03st056oa, Lockwood and McCaffrey (2014) doi:10.3102/1076998613509405, and Lockwood and McCaffrey (2017) doi:10.1007/s11336-017-9556-y, among others.
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