Package: memochange 1.1.1

memochange: Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence

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) <doi:10.1111/jtsa.12187> Busetti and Taylor (2004) <doi:10.1016/j.jeconom.2003.10.028> Dehling, Rooch and Taqqu (2012) <doi:10.1111/j.1467-9469.2012.00799.x> Harvey, Leybourne and Taylor (2006) <doi:10.1016/j.jeconom.2005.07.002> Horvath and Kokoszka (1997) <doi:10.1016/S0378-3758(96)00208-X> Hualde and Iacone (2017) <doi:10.1016/j.econlet.2016.10.014> Iacone, Leybourne and Taylor (2014) <doi:10.1111/jtsa.12049> Leybourne, Kim, Smith, and Newbold (2003) <doi:10.1111/1368-423X.t01-1-00110> Leybourne and Taylor (2004) <doi:10.1016/j.econlet.2003.12.015> Leybourne, Kim, and Taylor (2007): <doi:10.1111/j.1467-9892.2006.00517.x> Martins and Rodrigues (2014) <doi:10.1016/j.csda.2012.07.021> Shao (2011) <doi:10.1111/j.1467-9892.2010.00717.x> Sibbertsen and Kruse (2009) <doi:10.1111/j.1467-9892.2009.00611.x> Wang (2008) <doi:10.1080/00949650701216604> Wenger, Leschinski and Sibbertsen (2018) <doi:10.1016/j.econlet.2017.12.007>.

Authors:Janis Becker [aut], Kai Wenger [aut, cre]

memochange_1.1.1.tar.gz
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memochange.pdf |memochange.html
memochange/json (API)

# Install 'memochange' in R:
install.packages('memochange', repos = c('https://kaiwenger.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kaiwenger/memochange/issues

On CRAN:

4.60 score 4 stars 8 scripts 256 downloads 14 exports 57 dependencies

Last updated 4 years agofrom:dd16f5312e. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winNOTENov 22 2024
R-4.3-macNOTENov 22 2024

Exports:BP_estimCUSUM_simplecusum_testCUSUMfixedCUSUMLMfixbsupwLBI_testLKSN_testMR_testpb_simratio_testsnsupwaldsnwilcoxonwilcoxonLM

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegmpgtableisobandjsonlitelabelinglatticelifecyclelmtestlongmemoLongMemoryTSmagrittrMASSmathjaxrMatrixmgcvmunsellmvtnormnlmennetpartitionspillarpkgconfigpolynomquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalessetsstrucchangetibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo

memochange-Tutorial: Break in Persistence

Rendered frombreak_in_persistence.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2019-11-08
Started: 2019-11-04

memochange-Tutorial: Change in Mean

Rendered fromChange_in_Mean.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2020-07-21
Started: 2019-11-08