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HDcpDetect  

Detect Change Points in Means of High Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HDcpDetect", "0.1.0")



Attach the package and use:
library("HDcpDetect")
Maintained by
Natasha Stewart
[Scholar Profile | Author Map]
First Published: 2018-09-28
Latest Update: 2018-09-28
Description:
Objective: Implement new methods for detecting change points in high-dimensional time series data. These new methods can be applied to non-Gaussian data, account for spatial and temporal dependence, and detect a wide variety of change-point configurations, including changes near the boundary and changes in close proximity. Additionally, this package helps address the
How to cite:
Natasha Stewart (2018). HDcpDetect: Detect Change Points in Means of High Dimensional Data. R package version 0.1.0, https://cran.r-project.org/web/packages/HDcpDetect. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited HDcpDetect R package
View HDcpDetect citation profile
Other R packages that HDcpDetect depends, imports, suggests or enhances
Complete documentation for HDcpDetect
Functions, R codes and Examples using the HDcpDetect R package
Some associated functions: HAPT . binary.segmentation . gestureVelocity . wild.binary.segmentation . 
Some associated R codes: HAPT.R . functions.R . gestureVelocity.R .  Full HDcpDetect package functions and examples
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