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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, 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
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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