qris: Quantile Regression Model for Residual Lifetime Using an Induced Smoothing Approach

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

Documentation:

Reference manual:

qris.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qris to link to this page.