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srp  

Smooth-Rough Partitioning of the Regression Coefficients
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("srp", "1.2.0")



Attach the package and use:
library("srp")
Maintained by
Hyeyoung Maeng
[Scholar Profile | Author Map]
First Published: 2018-02-09
Latest Update: 2019-04-24
Description:
Performs the change-point detection in regression coefficients of linear model by partitioning the regression coefficients into two classes of smoothness. The change-point and the regression coefficients are jointly estimated.
How to cite:
Hyeyoung Maeng (2018). srp: Smooth-Rough Partitioning of the Regression Coefficients. R package version 1.2.0, https://cran.r-project.org/web/packages/srp. Accessed 19 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-02-09 19:29), 1.1.0 (2018-08-29 21:30)
Other packages that cited srp R package
View srp citation profile
Other R packages that srp depends, imports, suggests or enhances
Complete documentation for srp
Functions, R codes and Examples using the srp R package
Some associated functions: ncs . predict.srp.c . predict.srp.l . sic.c . sic.l . srp.c . srp.l . srp . truebeta . 
Some associated R codes: data.R . ncs.R . predict.R . sic_c.R . sic_l.R . srp.R . srp_c.R . srp_l.R .  Full srp package functions and examples
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