The R Journal: article published in 2016, volume 8:2

Qtools: A Collection of Models and Tools for Quantile Inference
Marco Geraci , The R Journal (2016) 8:2, pages 117-138.

Abstract Quantiles play a fundamental role in statistics. The quantile function defines the distribution of a random variable and, thus, provides a way to describe the data that is specular but equivalent to that given by the corresponding cumulative distribution function. There are many advantages in working with quantiles, starting from their properties. The renewed interest in their usage seen in the last years is due to the theoretical, methodological, and software contributions that have broadened their applicability. This paper presents the R package Qtools, a collection of utilities for unconditional and conditional quantiles.

Received: 2016-09-15; online 2016-12-12
CRAN packages: quantreg, bayesQR, BSquare, lqmm, Qtools, boot, Rearrangement, mice
CRAN Task Views implied by cited CRAN packages: SocialSciences, Bayesian, Econometrics, Optimization, Robust, Survival, Environmetrics, Multivariate, OfficialStatistics, ReproducibleResearch, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-037,
  author = {Marco Geraci},
  title = {{Qtools: A Collection of Models and Tools for Quantile
          Inference}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-037},
  url = {https://doi.org/10.32614/RJ-2016-037},
  pages = {117--138},
  volume = {8},
  number = {2}
}