Package: qris 1.1.1

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]

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qris.pdf |qris.html✨
qris/json (API)
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Bug tracker:https://github.com/kyuhyun07/qris/issues

On CRAN:

4 exports 1.10 score 37 dependencies 4 scripts 165 downloads

Last updated 7 months agofrom:76f69046e2. Checks:OK: 9. Indexed: yes.

Exports:qrisqris.controlqris.extendSurv

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmunsellnleqslvnlmepillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalesSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr