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sac  

Semiparametric Analysis of Change-Point
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sac", "1.0.2")



Attach the package and use:
library("sac")
Maintained by
Zhong Guan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-05-06
Latest Update: 2021-01-27
Description:
Semiparametric empirical likelihood ratio based tests of change-point with one-change or epidemic alternatives with data-based model diagnostic are contained.
How to cite:
Zhong Guan (2005). sac: Semiparametric Analysis of Change-Point. R package version 1.0.2, https://cran.r-project.org/web/packages/sac. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 1.0.1 (2009-02-25 09:29), 1.0.2 (2021-01-27 16:00), 1.0 (2005-05-06 09:19)
Other packages that cited sac R package
View sac citation profile
Other R packages that sac depends, imports, suggests or enhances
Complete documentation for sac
Functions, R codes and Examples using the sac R package
Some associated functions: BootsChapt . BootsModelTest . CriticalValues . Pvalues . SemiparChangePoint . cumsum.test . plots . sac-internal . schapt . 
Some associated R codes: BootsChapt.R . BootsModelTest.R . CriticalValues.R . Pvalues.R . SemiparChangePoint.R . cumsum.test.R . plots.R . sac-internal.R . schapt.R .  Full sac package functions and examples
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