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
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-prerel: qris_1.1.1.zip, r-release: qris_1.1.1.zip, r-oldrel: qris_1.1.1.zip
macOS binaries: r-prerel (arm64): qris_1.1.1.tgz, r-release (arm64): qris_1.1.1.tgz, r-oldrel (arm64): qris_1.1.1.tgz, r-prerel (x86_64): qris_1.1.1.tgz, r-release (x86_64): qris_1.1.1.tgz
Old sources: qris archive


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