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  "Title": "Bayesian Estimation for Quantile Regression Mixed Models",
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  "Description": "Using a Bayesian estimation procedure, this package fits\nlinear quantile regression models such as linear quantile\nmodels, linear quantile mixed models, quantile regression joint\nmodels for time-to-event and longitudinal data. The estimation\nprocedure is based on the asymmetric Laplace distribution and\nthe 'JAGS' software is used to get posterior samples (Yang,\nLuo, DeSantis (2019) <doi:10.1177/0962280218784757>).",
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  "Author": "Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut]",
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  "Repository": "https://cran.r-universe.dev",
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