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-4.7-x86_64)sbmSDP_0.2.zip(r-4.7-arm64)sbmSDP_0.2.zip(r-4.6-x86_64)sbmSDP_0.2.zip(r-4.6-arm64)sbmSDP_0.2.zip(r-4.5-x86_64)
sbmSDP_0.2.tgz(r-4.6-x86_64)sbmSDP_0.2.tgz(r-4.6-arm64)sbmSDP_0.2.tgz(r-4.5-x86_64)sbmSDP_0.2.tgz(r-4.5-arm64)
sbmSDP_0.2.tar.gz(r-4.7-arm64)sbmSDP_0.2.tar.gz(r-4.7-x86_64)sbmSDP_0.2.tar.gz(r-4.6-arm64)sbmSDP_0.2.tar.gz(r-4.6-x86_64)
sbmSDP_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sbmSDP/json (API)

# Install 'sbmSDP' in R:
install.packages('sbmSDP', repos = c('https://aaamini.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

openblascpp

1.00 score 1 stars 217 downloads 1 exports 2 dependencies

Last updated from:f59dfbce71. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK120
source / vignettesOK185
linux-release-arm64OK136
linux-release-x86_64OK121
macos-release-arm64OK120
macos-release-x86_64OK205
macos-oldrel-arm64OK87
macos-oldrel-x86_64OK262
windows-devel-arm64OK338
windows-devel-x86_64OK120
windows-release-arm64OK338
windows-release-x86_64OK107
windows-oldrel-x86_64OK105
wasm-releaseOK119

Exports:sdp1_admm

Dependencies:RcppRcppArmadillo