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, and restricted quantile regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Version: | 1.5.1 |
Depends: | R (≥ 3.0.0) |
Imports: | utils, glmx, 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: | 2019-12-13 |
Author: | Marco Geraci |
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_1.5.1.tar.gz |
Windows binaries: | r-devel: Qtools_1.5.1.zip, r-devel-gcc8: Qtools_1.5.1.zip, r-release: Qtools_1.5.1.zip, r-oldrel: Qtools_1.5.1.zip |
OS X binaries: | r-release: Qtools_1.5.1.tgz, r-oldrel: Qtools_1.5.1.tgz |
Old sources: | Qtools archive |
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