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sbmSDP  

Semidefinite Programming for Fitting Block Models of Equal Block Sizes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sbmSDP", "0.2")



Attach the package and use:
library("sbmSDP")
Maintained by
Arash A. Amini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-22
Latest Update: 2015-06-22
Description:
An ADMM implementation of SDP-1, a semidefinite programming relaxation of the maximum likelihood estimator for fitting a block model. SDP-1 has a tendency to produce equal-sized blocks and is ideal for producing a form of network histogram approximating a nonparametric graphon model. Alternatively, it can be used for community detection. (This is experimental code, proceed with caution.)
How to cite:
Arash A. Amini (2015). sbmSDP: Semidefinite Programming for Fitting Block Models of Equal Block Sizes. R package version 0.2, https://cran.r-project.org/web/packages/sbmSDP. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for sbmSDP
Functions, R codes and Examples using the sbmSDP R package
Some associated functions: sbmSDP-package . sdp1_admm . 
Some associated R codes: RcppExports.R .  Full sbmSDP package functions and examples
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