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missSBM  

Handling Missing Data in Stochastic Block Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("missSBM", "1.0.4")



Attach the package and use:
library("missSBM")
Maintained by
Julien Chiquet
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-08
Latest Update: 2023-10-24
Description:
When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 due to missing information between node pairs), it is possible to account for the underlying process that generates those NAs. 'missSBM', presented in 'Barbillon, Chiquet and Tabouy' (2022) , adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in 'Tabouy, Barbillon and Chiquet' (2019) .
How to cite:
Julien Chiquet (2019). missSBM: Handling Missing Data in Stochastic Block Models. R package version 1.0.4, https://cran.r-project.org/web/packages/missSBM. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2019-06-08 10:10), 0.2.1 (2019-09-16 12:10), 0.3.0 (2020-11-19 00:10), 1.0.0 (2021-05-25 18:20), 1.0.1 (2021-06-04 15:10), 1.0.2 (2022-02-01 17:00), 1.0.3 (2022-08-23 14:10)
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Maintainer: Qi Qin (view profile)

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