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LRQMM  

Fitting Linear Quantile Regression Mixed Models with Relationship Matrix
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LRQMM", "1.2.3")



Attach the package and use:
library("LRQMM")
Maintained by
Sayyed Reza Alavian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-04
Latest Update: 2021-10-04
Description:
Fit a quantile regression mixed model involved Relationship Matrix using a sparse implementation of the Frisch-Newton interior-point algorithm as described in Portnoy and Koenker (1977, Statistical Science) .
How to cite:
Sayyed Reza Alavian (2019). LRQMM: Fitting Linear Quantile Regression Mixed Models with Relationship Matrix. R package version 1.2.3, https://cran.r-project.org/web/packages/LRQMM
Previous versions and publish date:
1.0.0 (2019-09-04 11:40), 1.1.0 (2019-09-05 09:50), 1.1.1 (2019-09-17 09:40), 1.1.10 (2019-09-23 17:40), 1.1.11 (2019-11-30 09:40), 1.2.0 (2020-01-07 23:40), 1.2.1 (2020-02-22 10:10), 1.2.2 (2020-08-03 00:20), 1.2.3 (2021-10-04 09:50)
Other packages that cited LRQMM R package
View LRQMM citation profile
Other R packages that LRQMM depends, imports, suggests or enhances
Functions, R codes and Examples using the LRQMM R package
Some associated functions: Cow . PINVmat . STDE . SVDmat . lrqmm . lrqmm_m . spginv . 
Some associated R codes: PINVmat.R . STDE.R . SVDmat.R . lrqmm.R . lrqmm_m.R . spginv.R .  Full LRQMM package functions and examples
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