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memochange
View on CRAN: Click
here
Download and install memochange package within the R console
Install from CRAN:
install.packages("memochange")
Install from Github:
library("remotes")
install_github("cran/memochange")
Install by package version:
library("remotes")
install_version("memochange", "1.1.2")
Attach the package and use:
library("memochange")
Maintained by
Kai Wenger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.memochange . memochange citation info . memochange results . memochange.pdf . memochange-Tutorial: Change in Mean . memochange-Tutorial: Break in Persistence . memochange_1.1.2.tar.gz . memochange_1.1.2.zip . memochange_1.1.2.zip . memochange_1.1.2.zip . memochange_1.1.2.tgz . memochange_1.1.2.tgz . memochange_1.1.2.tgz . memochange_1.1.2.tgz . memochange_1.1.2.tgz . memochange_1.1.2.tgz . memochange archive . https://CRAN.R-project.org/package=memochange .
First Published: 2019-08-28
Latest Update: 2020-07-26
Description:
Test procedures and break point estimators for persistent processes that exhibit structural breaks in mean or in persistence.
On the one hand the package contains the most popular approaches for testing whether a time series exhibits a break in persistence from I(0) to I(1) or vice versa, such as those of Busetti and Taylor (2004) and Leybourne, Kim, and Taylor (2007).
The approach by Martins and Rodrigues (2014), which allows to detect changes from I(d1) to I(d2) with d1 and d2 being non-integers, is included as well.
In case the tests reject the null of constant persistence, various breakpoint estimators are available to detect the point of the break as well as the order of integration in the two regimes.
On the other hand the package contains the most popular approaches to test for a change-in-mean of a long-memory time series, which were recently reviewed by Wenger, Leschinski, and Sibbertsen (2018).
These include memory robust versions of the CUSUM, sup-Wald, and Wilcoxon type tests. The tests either utilize consistent estimates of the long-run variance or a self normalization approach in their test statistics.
Betken (2016)
Busetti and Taylor (2004)
Dehling, Rooch and Taqqu (2012)
Harvey, Leybourne and Taylor (2006)
Horvath and Kokoszka (1997)
Hualde and Iacone (2017)
Iacone, Leybourne and Taylor (2014)
Leybourne, Kim, Smith, and Newbold (2003)
Leybourne and Taylor (2004)
Leybourne, Kim, and Taylor (2007):
Martins and Rodrigues (2014)
Shao (2011)
Sibbertsen and Kruse (2009)
Wang (2008)
Wenger, Leschinski and Sibbertsen (2018) .
How to cite:
Kai Wenger (2019). memochange: Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence. R package version 1.1.2, https://cran.r-project.org/web/packages/memochange. Accessed 17 Mar. 2025.
Previous versions and publish date:
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Other R packages that memochange depends,
imports, suggests or enhances
Complete documentation for memochange
Functions, R codes and Examples using
the memochange R package
Some associated functions: BP_estim . BT . CUSUMLM . CUSUM_simple . CUSUMfixed . CV . HLT . HLTmin . LBI . LBI_test . LKSN . LKSN_test . LT . MR . MR_test . cusum . cusum_test . d_vec . ers_test . fb_longrun . fixbsupw . getCV . memochange . pb_sim . ratio_test . snsupwald . snwilcoxon . wald_test . wilcoxonLM .
Some associated R codes: BP_estim.R . CUSUMLM.R . CUSUM_simple.R . CUSUMfixed.R . CV_shift.R . CritValues_Persistence.R . LBI_test.R . LKSN_test.R . MR_test.R . cusum_test.R . fb_longrun.R . fixbsupw.R . memochange.R . pb_sim.R . ratio_test.R . snsupwald.R . snwilcoxon.R . wilcoxonLM.R . Full memochange package functions and examples
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