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ppsbm  

Clustering in Longitudinal Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ppsbm", "1.0.0")



Attach the package and use:
library("ppsbm")
Maintained by
Daphné Giorgi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-19
Latest Update: 2025-01-15
Description:
Stochastic block model used for dynamic graphs represented by Poisson processes. To model recurrent interaction events in continuous time, an extension of the stochastic block model is proposed where every individual belongs to a latent group and interactions between two individuals follow a conditional inhomogeneous Poisson process with intensity driven by the individuals
How to cite:
Daphné Giorgi (2018). ppsbm: Clustering in Longitudinal Networks. R package version 1.0.0, https://cran.r-project.org/web/packages/ppsbm. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.2.2 (2018-03-19 17:37)
Other packages that cited ppsbm R package
View ppsbm citation profile
Other R packages that ppsbm depends, imports, suggests or enhances
Complete documentation for ppsbm
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