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qrNLMM  

Quantile Regression for Nonlinear Mixed-Effects Models
View on CRAN: Click here


Download and install qrNLMM package within the R console
Install from CRAN:
install.packages("qrNLMM")

Install from Github:
library("remotes")
install_github("cran/qrNLMM")

Install by package version:
library("remotes")
install_version("qrNLMM", "4.0")



Attach the package and use:
library("qrNLMM")
Maintained by
Christian E. Galarza
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-16
Latest Update: 2025-05-21
Description:
Quantile regression (QR) for Nonlinear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference results for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.
How to cite:
Christian E. Galarza (2015). qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models. R package version 4.0, https://cran.r-project.org/web/packages/qrNLMM. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:45), 1.0 (2015-02-16 19:28), 1.2 (2016-05-09 06:25), 1.3 (2016-06-06 07:48), 1.4 (2017-03-21 22:13), 2.0 (2020-01-10 13:00), 2.1 (2021-05-20 06:30), 2.2 (2021-06-17 06:30), 3.0 (2021-09-21 07:00), 3.1 (2021-09-26 17:10), 3.2 (2021-11-26 15:30), 3.3 (2022-08-18 14:40), 3.4 (2024-07-12 21:50)
Other packages that cited qrNLMM R package
View qrNLMM citation profile
Other R packages that qrNLMM depends, imports, suggests or enhances
Complete documentation for qrNLMM
Functions, R codes and Examples using the qrNLMM R package
Some associated functions: HIV . QRNLMM . Soybean . group.plots . predict.QRNLMM . qrNLMM-package . 
Some associated R codes: HelpfulFunctions.R . QRNLMM.R . QSAEM_NLMM.R . predict.QRNLMM.R .  Full qrNLMM package functions and examples
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