Package: qris 1.1.1

Kyu Hyun Kim

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>.

Authors:Kyu Hyun Kim [aut, cre], Sangwook Kang [aut], Sy Han Chiou [aut]

qris_1.1.1.tar.gz
qris_1.1.1.tar.gz(r-4.5-noble)qris_1.1.1.tar.gz(r-4.4-noble)
qris_1.1.1.tgz(r-4.4-emscripten)qris_1.1.1.tgz(r-4.3-emscripten)
qris.pdf |qris.html
qris/json (API)
NEWS

# Install 'qris' in R:
install.packages('qris', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kyuhyun07/qris/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

openblascppopenmp

1.00 score 4 scripts 156 downloads 4 exports 37 dependencies

Last updated 9 months agofrom:dfb00a4765. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64NOTEDec 01 2024

Exports:qrisqris.controlqris.extendSurv

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmunsellnleqslvnlmepillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalesSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr