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

A collection of functions 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). See Kim, K. (2022) "Smoothed quantile regression for censored residual life", <arXiv:2205.00413>.

Version:	1.0.0
Depends:	R (≥ 3.6.0)
Imports:	nleqslv, quantreg, stringr, survival, ggplot2, Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-08-29
Author:	Kyu Hyun Kim [aut, cre], Sangwook Kang [aut], Sy Han Chiou [aut]
Maintainer:	Kyu Hyun Kim <kyuhyunkim07 at yonsei.ac.kr>
License:	GPL (≥ 3)
URL:	https://github.com/Kyuhyun07/qris
NeedsCompilation:	yes
CRAN checks:	qris results

Documentation:

Reference manual:

qris.pdf

Downloads:

Package source:	qris_1.0.0.tar.gz
Windows binaries:	r-devel: qris_1.0.0.zip, r-release: qris_1.0.0.zip, r-oldrel: qris_1.0.0.zip
macOS binaries:	r-release (arm64): qris_1.0.0.tgz, r-oldrel (arm64): qris_1.0.0.tgz, r-release (x86_64): qris_1.0.0.tgz, r-oldrel (x86_64): qris_1.0.0.tgz

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