Package: sbmSDP 0.2

sbmSDP: Semidefinite Programming for Fitting Block Models of Equal Block Sizes

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.)

Authors:Arash A. Amini

sbmSDP_0.2.tar.gz
sbmSDP_0.2.zip(r-4.5)sbmSDP_0.2.zip(r-4.4)sbmSDP_0.2.zip(r-4.3)
sbmSDP_0.2.tgz(r-4.4-x86_64)sbmSDP_0.2.tgz(r-4.4-arm64)sbmSDP_0.2.tgz(r-4.3-x86_64)sbmSDP_0.2.tgz(r-4.3-arm64)
sbmSDP_0.2.tar.gz(r-4.5-noble)sbmSDP_0.2.tar.gz(r-4.4-noble)
sbmSDP_0.2.tgz(r-4.4-emscripten)sbmSDP_0.2.tgz(r-4.3-emscripten)
sbmSDP.pdf |sbmSDP.html✨
sbmSDP/json (API)

# Install 'sbmSDP' in R:
install.packages('sbmSDP', repos = c('https://aaamini.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 1 scripts 124 downloads 1 exports 2 dependencies

Last updated 9 years agofrom:f59dfbce71. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:sdp1_admm

Dependencies:RcppRcppArmadillo