Other packages > Find by keyword >

MSigSeg  

Multiple SIGnal SEGmentation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MSigSeg", "0.2.0")



Attach the package and use:
library("MSigSeg")
Maintained by
Xuanyu Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-07
Latest Update: 2023-11-13
Description:
Traditional methods typically detect breakpoints from individual signals, which means that when applied separately to multiple signals, the breakpoints are not aligned. However, this package implements a common breakpoint detection approach for multiple piecewise constant signals, resulting in increased detection sensitivity and specificity. By employing various techniques, optimal performance is ensured, and computation is accelerated. We hope that this package will be beneficial for researchers in signal processing, bioinformatics, economy, and other related fields. The segmentation(), lambda_estimator() functions are the main functions of this package.
How to cite:
Xuanyu Liu (2023). MSigSeg: Multiple SIGnal SEGmentation. R package version 0.2.0, https://cran.r-project.org/web/packages/MSigSeg. Accessed 02 Nov. 2026.
Previous versions and publish date:
0.1.3 (2023-06-07 15:20), (2026-07-09 08:09)
Other packages that cited MSigSeg R package
View MSigSeg citation profile
Other R packages that MSigSeg depends, imports, suggests or enhances
Complete documentation for MSigSeg
Functions, R codes and Examples using the MSigSeg R package
Full MSigSeg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VFP  
Variance Function Program
Variance function estimation for models proposed by W. Sadler in his variance function program ('VF ...
Download / Learn more Package Citations See dependency  
SemiEstimate  
Solve Semi-Parametric Estimation by Implicit Profiling
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit ...
Download / Learn more Package Citations See dependency  
palaeoverse  
Prepare and Explore Data for Palaeobiological Analyses
Provides functionality to support data preparation and exploration for palaeobiological analyses, i ...
Download / Learn more Package Citations See dependency  
aws.translate  
Client for 'AWS Translate'
A client for 'AWS Translate' , a machine translation ...
Download / Learn more Package Citations See dependency  
EDOtrans  
Euclidean Distance-Optimized Data Transformation
A data transformation method which takes into account the special property of scale non-invariance w ...
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  

29,315

R Packages

247,686

Dependencies

77,531

Author Associations

29,316

Publication Badges

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