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qrcm
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]
[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. Accessed 02 Apr. 2025.
Previous versions and publish date:
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View qrcm citation profile
Other R packages that qrcm depends,
imports, suggests or enhances
Complete documentation for qrcm
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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