Other packages > Find by keyword >

bootcluster  

Bootstrapping Estimates of Clustering Stability
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bootcluster", "0.4.3")



Attach the package and use:
library("bootcluster")
Maintained by
Tianmou Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-13
Latest Update: 2025-06-17
Description:
Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016). Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) .
How to cite:
Tianmou Liu (2017). bootcluster: Bootstrapping Estimates of Clustering Stability. R package version 0.4.3, https://cran.r-project.org/web/packages/bootcluster. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.1.0 (2017-11-13 16:38), 0.2.0 (2020-10-20 16:50), 0.2.5 (2021-06-10 10:20), 0.3.1 (2022-01-23 00:52), 0.3.2 (2022-01-29 23:50), 0.4.1 (2024-11-12 10:50), 0.4.2 (2025-06-18 01:00)
Other packages that cited bootcluster R package
View bootcluster citation profile
Other R packages that bootcluster depends, imports, suggests or enhances
Complete documentation for bootcluster
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
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  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
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  
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  
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  

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