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qrcm  

Quantile Regression Coefficients Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qrcm", "3.1")



Attach the package and use:
library("qrcm")
Maintained by
Paolo Frumento
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-16
Latest Update: 2021-02-02
Description:
Parametric modeling of quantile regression coefficient functions.
How to cite:
Paolo Frumento (2015). qrcm: Quantile Regression Coefficients Modeling. R package version 3.1, https://cran.r-project.org/web/packages/qrcm
Previous versions and publish date:
1.0 (2015-12-16 00:34), 2.0 (2017-02-03 08:13), 2.1 (2017-03-27 17:34), 2.2 (2020-02-28 08:20), 3.0 (2021-02-02 07:40)
Other packages that cited qrcm R package
View qrcm citation profile
Other R packages that qrcm depends, imports, suggests or enhances
Functions, R codes and Examples using the qrcm R package
Some associated functions: diagnose.qc . iqr . iqrL . plf . plot.iqr . plot.iqrL . predict.iqr . predict.iqrL . qc.control . qrcm-internal . qrcm-package . slp . summary.iqr . summary.iqrL . test.fit.iqr . test.fit.iqrL . test.fit . 
Some associated R codes: A0_auxfun.R . A1_buildfun.R . iqr1_fit.R . iqr2_auxfun.R . iqr3_test_fit.R . iqrL1_fit.R . iqrL2_auxfun.R . iqrL3_test_fit.R . qc.R .  Full qrcm package functions and examples
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