R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
QuantRegGLasso
View on CRAN: Click
here
Download and install QuantRegGLasso package within the R console
Install from CRAN:
install.packages("QuantRegGLasso")
Install from Github:
library("remotes")
install_github("cran/QuantRegGLasso") Install by package version:
library("remotes")
install_version("QuantRegGLasso", "1.0.1") Attach the package and use:
library("QuantRegGLasso")
Maintained by
Wen-Ting Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-16
Latest Update: 2024-01-16
Description:
Implements an adaptively weighted group Lasso procedure for simultaneous variable selection and structure identification in varying
coefficient quantile regression models and additive quantile regression models with ultra-high dimensional covariates. The methodology, grounded
in a strong sparsity condition, establishes selection consistency under certain weight conditions. To address the challenge of tuning parameter
selection in practice, a BIC-type criterion named high-dimensional information criterion (HDIC) is proposed. The Lasso procedure, guided by
HDIC-determined tuning parameters, maintains selection consistency. Theoretical findings are strongly supported by simulation studies.
(Toshio Honda, Ching-Kang Ing, Wei-Ying Wu, 2019, ).
How to cite:
Wen-Ting Wang (2024). QuantRegGLasso: Adaptively Weighted Group Lasso for Semiparametric Quantile Regression Models. R package version 1.0.1, https://cran.r-project.org/web/packages/QuantRegGLasso. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0.0 (2024-01-16 18:20)
Other packages that cited QuantRegGLasso R package
View QuantRegGLasso citation profile
Other R packages that QuantRegGLasso depends,
imports, suggests or enhances
Complete documentation for QuantRegGLasso
Functions, R codes and Examples using
the QuantRegGLasso R package
Full QuantRegGLasso package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
mxnorm
Implements methods to normalize multiplexed imaging data, including
statistical metrics and visuali ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Coleman Harris (view profile)
survivalMPLdc
Fitting Cox proportional hazard model under dependent right censoring using copula and maximum penal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jing Xu (view profile)
spatialCovariance
Functions that compute the spatial covariance matrix for the matern and power classes of spatial mod ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Clifford (view profile)
shinyFeedback
Easily display user feedback in Shiny apps. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Andy Merlino (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
RGIFT
Implementation of some functions to create quizzes
in the GIFT format. This format is used by sever ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Virgilio Gómez-Rubio (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
