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


Reference manual: qris.pdf


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


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