{ "_id": "6a1ee89bb401979e73411aef", "Package": "unitquantreg", "Title": "Parametric Quantile Regression Models for Bounded Data", "Version": "0.0.6", "Authors@R": "c(person(given = \"André F. B.\", family = \"Menezes\", role = c(\"aut\", \"cre\"), email = \"andrefelipemaringa@gmail.com\", comment = c(ORCID = \"0000-0002-3320-9834\")),\nperson(given = \"Josmar\", family = \"Mazucheli\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-6740-0445\")))", "Maintainer": "André F. B. Menezes ", "Description": "A collection of parametric quantile regression models for\nbounded data. At present, the package provides 13 parametric\nquantile regression models. It can specify regression structure\nfor any quantile and shape parameters. It also provides several\nS3 methods to extract information from fitted model, such as\nresidual analysis, prediction, plotting, and model comparison.\nFor more computation efficient the [dpqr]'s, likelihood, score\nand hessian functions are written in C++. 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