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.
Version: 1.5.9 Depends: R (≥ 3.5.0) Imports: boot, conquer, glmx, graphics, grDevices, gtools, MASS, Matrix, np, numDeriv (≥ 2016.8-1), quantdr, quantreg, Rcpp (≥ 0.12.13), stats, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, mice, rmarkdown, survey Published: 2023-10-28 DOI: 10.32614/CRAN.package.Qtools Author: Marco Geraci [aut, cph, cre], Alessio Farcomeni [ctb] (Contributions to midrq and qrr code), Cinzia Viroli [ctb] (Contributions to dqc code) Maintainer: Marco Geraci <marco.geraci at uniroma1.it> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Citation: Qtools citation info Materials: NEWS In views: MissingData CRAN checks: Qtools results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=Qtools to link to this page.
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