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qrLMM  

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


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

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

Install by package version:
library("remotes")
install_version("qrLMM", "2.3")



Attach the package and use:
library("qrLMM")
Maintained by
Christian E. Galarza
[Scholar Profile | Author Map]
First Published: 2015-01-08
Latest Update: 2022-10-25
Description:
Quantile regression (QR) for Linear 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 graphical summaries for assessing the algorithm convergence and fitting results.
How to cite:
Christian E. Galarza (2015). qrLMM: Quantile Regression for Linear Mixed-Effects Models. R package version 2.3, https://cran.r-project.org/web/packages/qrLMM. Accessed 08 Apr. 2025.
Previous versions and publish date:
1.0-9 (2015-01-08 12:24), 1.1 (2015-01-27 15:43), 1.3 (2017-03-21 21:44), 2.0 (2020-01-10 13:00), 2.1 (2020-04-12 07:30), 2.2 (2022-10-25 15:42)
Other packages that cited qrLMM R package
View qrLMM citation profile
Other R packages that qrLMM depends, imports, suggests or enhances
Complete documentation for qrLMM
Functions, R codes and Examples using the qrLMM R package
Some associated functions: Cholesterol . Orthodont . QRLMM . group.plots . qrLMM-package . 
Some associated R codes: HelpfulFunctions.R . Intervalos2.R . QRLMM.R . SAEM.R .  Full qrLMM package functions and examples
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