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Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, directional quantile classification, and quantile ratio regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Package details |
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Author | Marco Geraci [aut, cph, cre] (<https://orcid.org/0000-0002-6311-8685>), Alessio Farcomeni [ctb] (Contributions to midrq and qrr code, <https://orcid.org/0000-0002-7104-5826>), Cinzia Viroli [ctb] (Contributions to dqc code, <https://orcid.org/0000-0002-3278-5266>) |
Maintainer | Marco Geraci <marco.geraci@uniroma1.it> |
License | GPL (>= 2) |
Version | 1.5.9 |
Package repository | View on CRAN |
Installation |
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