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ChangePointTaylor
View on CRAN: Click
here
Download and install ChangePointTaylor package within the R console
Install from CRAN:
install.packages("ChangePointTaylor")
Install from Github:
library("remotes")
install_github("cran/ChangePointTaylor") Install by package version:
library("remotes")
install_version("ChangePointTaylor", "0.3") Attach the package and use:
library("ChangePointTaylor")
Maintained by
Michael Marks
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2024-07-14
Description:
A basic implementation of the change in mean detection method outlined in: Taylor, Wayne A. (2000) . The package recursively uses the mean-squared error change point calculation to identify candidate change points. The candidate change points are then re-estimated and Taylor's backwards elimination process is then employed to come up with a final set of change points. Many of the underlying functions are written in C++ for improved performance.
How to cite:
Michael Marks (2020). ChangePointTaylor: Identify Changes in Mean. R package version 0.3, https://cran.r-project.org/web/packages/ChangePointTaylor. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for ChangePointTaylor
Functions, R codes and Examples using
the ChangePointTaylor R package
Some associated functions: ChangePointAnalyzer-package . US_Trade_Deficit . change_point_analyzer .
Some associated R codes: RcppExports.R . change_point_analyzer_function.R . data.R . Full ChangePointTaylor package functions and examples
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