The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A collection of functions is provided by this package to fit quantiles regression models for censored residual lifetimes. It provides various options for regression parameters estimation: the induced smoothing approach (smooth), and L1-minimization (non-smooth). It also implements the estimation methods for standard errors of the regression parameters estimates based on an efficient partial multiplier bootstrap method and robust sandwich estimator. Furthermore, a simultaneous procedure of estimating regression parameters and their standard errors via an iterative updating procedure is implemented (iterative). For more details, see Kim, K. H., Caplan, D. J., & Kang, S. (2022), "Smoothed quantile regression for censored residual life", Computational Statistics, 1-22 <doi:10.1007/s00180-022-01262-z>.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | nleqslv, quantreg, stringr, survival, ggplot2, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-03-05 |
| DOI: | 10.32614/CRAN.package.qris |
| Author: | Kyu Hyun Kim [aut, cre], Sangwook Kang [aut], Sy Han Chiou [aut] |
| Maintainer: | Kyu Hyun Kim <kyuhyunkim07 at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Kyuhyun07/qris |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | qris results |
| Reference manual: | qris.pdf |
| Package source: | qris_1.1.1.tar.gz |
| Windows binaries: | r-devel: qris_1.1.1.zip, r-release: qris_1.1.1.zip, r-oldrel: qris_1.1.1.zip |
| macOS binaries: | r-release (arm64): qris_1.1.1.tgz, r-oldrel (arm64): qris_1.1.1.tgz, r-release (x86_64): qris_1.1.1.tgz, r-oldrel (x86_64): qris_1.1.1.tgz |
| Old sources: | qris archive |
Please use the canonical form https://CRAN.R-project.org/package=qris to link to this page.
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.
Health stats visible at Monitor.