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pRSR  

Test of Periodicity using Response Surface Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pRSR", "3.1.1")



Attach the package and use:
library("pRSR")
Maintained by
M. S. Islam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-10
Latest Update: 2016-05-16
Description:
Tests periodicity in short time series using response surface regression.
How to cite:
M. S. Islam (2014). pRSR: Test of Periodicity using Response Surface Regression. R package version 3.1.1, https://cran.r-project.org/web/packages/pRSR. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 3.0.2 (2014-07-10 08:45)
Other packages that cited pRSR R package
View pRSR citation profile
Other R packages that pRSR depends, imports, suggests or enhances
Complete documentation for pRSR
Functions, R codes and Examples using the pRSR R package
Some associated functions: FitHReg . GetFitHReg . SimulateAR1 . SimulateHReg . TPout . pRSR-package . plotrsr . pvalrsr . 
Some associated R codes: FitHReg.R . GetFitHReg.R . SimulateAR1.R . SimulateHReg.R . pRSR-package.R . plotrsr.R . pvalrsr.R .  Full pRSR package functions and examples
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