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qcauchyreg  

Quantile Regression Quasi-Cauchy
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qcauchyreg", "1.0")



Attach the package and use:
library("qcauchyreg")
Maintained by
Jose Sergio Case de Oliveira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-19
Latest Update: 2023-10-19
Description:
Quasi-Cauchy quantile regression, proposed by de Oliveira, Ospina, Leiva, Figueroa-Zuniga and Castro (2023) . This regression model is useful for the case where you want to model data of a nature limited to the intervals [0,1], (0,1], [0,1) or (0,1) and you want to use a quantile approach.
How to cite:
Jose Sergio Case de Oliveira (2023). qcauchyreg: Quantile Regression Quasi-Cauchy. R package version 1.0, https://cran.r-project.org/web/packages/qcauchyreg. Accessed 21 Dec. 2024.
Previous versions and publish date:
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Complete documentation for qcauchyreg
Functions, R codes and Examples using the qcauchyreg R package
Some associated functions: Democratization . Poverty . qcreg . 
Some associated R codes: qcreg.R .  Full qcauchyreg package functions and examples
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