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
quantreg
View on CRAN: Click
here
Download and install quantreg package within the R console
Install from CRAN:
install.packages("quantreg")
Install from Github:
library("remotes")
install_github("cran/quantreg")
Install by package version:
library("remotes")
install_version("quantreg", "5.99.1")
Attach the package and use:
library("quantreg")
Maintained by
Roger Koenker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 1999-01-11
Latest Update: 2023-08-19
Description:
Estimation and inference methods for models for conditional quantile functions:
Linear and nonlinear parametric and non-parametric (total variation penalized) models
for conditional quantiles of a univariate response and several methods for handling
censored survival data. Portfolio selection methods based on expected shortfall
risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press,
and Koenker, R. et al. (2017) Handbook of Quantile Regression,
CRC Press, .
How to cite:
Roger Koenker (1999). quantreg: Quantile Regression. R package version 5.99.1, https://cran.r-project.org/web/packages/quantreg. Accessed 21 Dec. 2024.
Previous versions and publish date:
2.0-2 (1999-01-11 15:48), 3.01-1 (2000-02-27 13:13), 3.02 (2001-06-23 08:21), 3.03 (2001-07-12 09:27), 3.04 (2001-12-16 11:45), 3.05 (2001-12-22 18:48), 3.09 (2002-06-02 09:55), 3.11 (2002-07-11 07:13), 3.17 (2003-02-17 22:15), 3.19 (2003-03-25 15:49), 3.31 (2003-08-23 07:16), 3.32 (2003-10-24 16:59), 3.33 (2004-01-11 22:17), 3.34 (2004-01-14 14:44), 3.35 (2004-03-15 16:50), 3.40 (2004-06-13 01:30), 3.50 (2004-08-01 13:24), 3.52 (2004-09-18 10:28), 4.76 (2011-12-02 17:23), 4.77 (2012-03-14 19:26), 4.78 (2012-03-22 22:25), 4.79 (2012-04-13 22:28), 4.81 (2012-06-25 16:49), 4.85 (2012-09-03 10:44), 4.90 (2012-09-05 09:16), 4.91 (2012-09-22 20:08), 4.94 (2012-12-17 17:51), 4.95 (2013-02-27 07:37), 4.96 (2013-03-01 07:51), 4.97 (2013-03-28 19:53), 4.98 (2013-04-24 08:06), 5.01 (2013-08-06 20:07), 5.02 (2013-08-15 07:08), 5.04 (2013-09-19 21:44), 5.05 (2013-09-23 16:10), 5.08 (2015-01-10 04:39), 5.11 (2015-01-11 09:23), 5.18 (2015-08-16 23:06), 5.19 (2015-08-31 23:26), 5.21 (2016-02-13 00:52), 5.24 (2016-05-14 00:47), 5.26 (2016-06-07 16:36), 5.29 (2016-09-04 13:02), 5.33 (2017-04-18 08:41), 5.34 (2017-10-25 18:48), 5.35 (2018-02-02 22:20), 5.36 (2018-05-29 13:33), 5.38 (2018-12-18 10:40), 5.40 (2019-06-03 14:40), 5.41 (2019-06-28 17:00), 5.42.1 (2019-07-27 12:38), 5.42 (2019-07-15 16:00), 5.51 (2019-08-07 19:10), 5.52 (2019-11-09 15:20), 5.54 (2019-12-13 12:10), 5.55 (2020-04-01 12:00), 5.61 (2020-07-09 15:00), 5.65 (2020-09-08 15:10), 5.67 (2020-09-09 10:30), 5.70 (2020-09-28 10:20), 5.73 (2020-10-02 06:20), 5.74 (2020-10-18 13:50), 5.75 (2020-10-27 20:10), 5.82 (2021-01-11 00:30), 5.83 (2021-01-22 06:40), 5.85 (2021-02-24 17:20), 5.86 (2021-06-06 19:10), 5.87 (2022-01-26 19:32), 5.88 (2022-02-05 13:10), 5.93 (2022-05-02 19:42), 5.94 (2022-07-20 10:40), 5.95 (2023-04-08 19:00), 5.96 (2023-07-19 16:30), 5.97 (2023-08-19 15:50), 5.98 (2024-05-26 14:00), 5.99 (2024-10-22 14:50)
Other packages that cited quantreg R package
View quantreg citation profile
Other R packages that quantreg depends,
imports, suggests or enhances
Complete documentation for quantreg
Functions, R codes and Examples using
the quantreg R package
Some associated functions: Bosco . CobarOre . FAQ . KhmaladzeTest . LassoLambdaHat . Mammals . MelTemp . Munge . ParetoTest . Peirce . QTECox . akj . anova.rq . bandwidth.rq . barro . boot.crq . boot.rq . boot.rq.pwxy . boot.rq.pxy . combos . critval . crq . dither . dynrq . engel . gasprice . kuantile . latex . latex.summary.rqs . latex.table . lm.fit.recursive . lprq . nlrq.control . nlrq . plot.KhmaladzeTest . plot.rq.process . plot.rqs . plot.rqss . plot.summary.rqs . predict.rq . predict.rqss . print.KhmaladzeTest . print.rq . print.summary.rq . q489 . qrisk . qss . ranks . rearrange . residuals.nlrq . rq.fit.br . rq.fit.conquer . rq.fit.fnb . rq.fit.fnc . rq.fit.hogg . rq.fit.lasso . rq.fit . rq.fit.pfn . rq.fit.pfnb . rq.fit.ppro . rq.fit.qfnb . rq.fit.scad . rq.fit.sfn . rq.fit.sfnc . rq . rqject . rq.processject . rq.wfit . rqProcess . rqs.fit . rqss . rqssject . sfn.control . srisk . summary.crq . summary.rq . summary.rqss . table.rq . uis .
Some associated R codes: ParetoTest.R . anova.R . boot.R . combos.R . crq.R . dynrq.R . khmal.R . kuantile.R . lprq.R . nlrq.R . qrisk.R . quantreg.R . rqss.R . sfn.R . table.R . tools.R . Full quantreg package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
CIFsmry
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jianing Li (view profile)
SEIRfansy
Extended Susceptible-Exposed-Infected-Recovery Model for
handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Kleinsasser (view profile)
batteryreduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chunqiao Luo (view profile)
helda
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Simon Corde (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
condGEE
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Clement (view profile)