Other packages > Find by keyword >

IDetect  

Isolate-Detect Method for Multiple Change-Point Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IDetect", "0.1.1")



Attach the package and use:
library("IDetect")
Maintained by
Andreas Anastasiou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-09
Latest Update: 2018-03-09
Description:
Provides efficient implementation of the Isolate-Detect methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the "deterministic + noise" model. For details on the Isolate-Detect methodology, please see Anastasiou and Fryzlewicz (2018) . Currently implemented scenarios are: piecewise-constant signal with Gaussian noise, piecewise-constant signal with heavy-tailed noise, continuous piecewise-linear signal with Gaussian noise, continuous piecewise-linear signal with heavy-tailed noise.
How to cite:
Andreas Anastasiou (2018). IDetect: Isolate-Detect Method for Multiple Change-Point Detection. R package version 0.1.1, https://cran.r-project.org/web/packages/IDetect. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.0 (2018-03-09 11:02), (2026-07-09 08:07)
Other packages that cited IDetect R package
View IDetect citation profile
Other R packages that IDetect depends, imports, suggests or enhances
Complete documentation for IDetect
Functions, R codes and Examples using the IDetect R package
Some associated functions: ID . ID_cplm . ID_pcm . IDetect . cplm_ic . cplm_th . est_signal . ht_ID_cplm . ht_ID_pcm . normalise . pcm_ic . pcm_th . resid_ID . s_e_points . sol_path_cplm . sol_path_pcm . win_cplm_th . win_pcm_th . 
Some associated R codes: Finalised_coding.R . package-IDetect.R .  Full IDetect package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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