Other packages > Find by keyword >

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]
All associated links for this package
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 22 Dec. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA