Qtools: Utilities for Quantiles

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, and directional quantile classification. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.

Version: 1.5.2
Depends: R (≥ 3.0.0)
Imports: utils, glmx, Gmisc, grDevices, graphics, stats, MASS, Matrix, np, quantreg, mice, boot, numDeriv (≥ 2016.8-1), Rcpp (≥ 0.12.13)
LinkingTo: Rcpp, RcppArmadillo
Suggests: survey, knitr, rmarkdown
Published: 2020-07-08
Author: Marco Geraci ORCID iD [aut, cph, cre], Alessio Farcomeni ORCID iD [ctb] (Contributions to midrq code)
Maintainer: Marco Geraci <geraci at mailbox.sc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: Qtools citation info
Materials: NEWS
In views: MissingData
CRAN checks: Qtools results


Reference manual: Qtools.pdf
Vignettes: Qtools: A Collection of Models and Tools for Quantile Inference
Package source: Qtools_1.5.2.tar.gz
Windows binaries: r-devel: Qtools_1.5.2.zip, r-release: Qtools_1.5.2.zip, r-oldrel: Qtools_1.5.2.zip
macOS binaries: r-release: Qtools_1.5.2.tgz, r-oldrel: Qtools_1.5.2.tgz
Old sources: Qtools archive

Reverse dependencies:

Reverse imports: nlmm


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