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detectR  

Change Point Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("detectR", "0.3.0")



Attach the package and use:
library("detectR")
Maintained by
Changryong Baek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-08
Latest Update: 2023-04-03
Description:
Time series analysis of network connectivity. Detects and visualizes change points between networks. Methods included in the package are discussed in depth in Baek, C., Gates, K. M., Leinwand, B., Pipiras, V. (2021) "Two sample tests for high-dimensional auto-covariances" and Baek, C., Gampe, M., Leinwand B., Lindquist K., Hopfinger J. and Gates K. (2023)
How to cite:
Changryong Baek (2021). detectR: Change Point Detection. R package version 0.3.0, https://cran.r-project.org/web/packages/detectR. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-02-08 11:40)
Other packages that cited detectR R package
View detectR citation profile
Other R packages that detectR depends, imports, suggests or enhances
Complete documentation for detectR
Functions, R codes and Examples using the detectR R package
Some associated functions: bandpass . changesim . detectBinary . detectGlasso . detectMaxChange . detectSliding . global . networkpca . preproc . preprocess . testGlasso . testMax . testPCA . testsim . 
Some associated R codes: bandpass.R . datadescription.R . detectBinary.R . detectGlasso.R . detectMaxChange.R . detectSliding.R . global.R . networkpca.R . preproc.R . preprocess.R . testGlasso.R . testMax.R . testPCA.R .  Full detectR package functions and examples
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