Other packages > Find by keyword >

changepoint.influence  

Package to Calculate the Influence of the Data on a Changepoint Segmentation
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/changepoint.influence")

Install by package version:
library("remotes")
install_version("changepoint.influence", "1.0.2")



Attach the package and use:
library("changepoint.influence")
Maintained by
Rebecca Killick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-04
Latest Update: 2021-08-04
Description:
Allows users to input their data, segmentation and function used for the segmentation (and additional arguments) and the package calculates the influence of the data on the changepoint locations, see Wilms et al. (2022) . Currently this can only be used with the changepoint package functions to identify changes, but we plan to extend this. There are options for different types of graphics to assess the influence.
How to cite:
Rebecca Killick (2021). changepoint.influence: Package to Calculate the Influence of the Data on a Changepoint Segmentation. R package version 1.0.2, https://cran.r-project.org/web/packages/changepoint.influence. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2021-08-04 17:00)
Other packages that cited changepoint.influence R package
View changepoint.influence citation profile
Other R packages that changepoint.influence depends, imports, suggests or enhances
Complete documentation for changepoint.influence
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

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)
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  
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  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
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  
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  

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