Package: SparseLPM 1.0

SparseLPM: The Sparse Latent Position Model for Nonnegative Interaction Data

Models the nonnegative entries of a rectangular adjacency matrix using a sparse latent position model, as illustrated in Rastelli, R. (2018) "The Sparse Latent Position Model for nonnegative weighted networks" <arxiv:1808.09262>.

Authors:Riccardo Rastelli [aut, cre]

SparseLPM_1.0.tar.gz
SparseLPM_1.0.zip(r-4.7-x86_64)SparseLPM_1.0.zip(r-4.7-arm64)SparseLPM_1.0.zip(r-4.6-x86_64)SparseLPM_1.0.zip(r-4.6-arm64)SparseLPM_1.0.zip(r-4.5-x86_64)
SparseLPM_1.0.tgz(r-4.6-x86_64)SparseLPM_1.0.tgz(r-4.6-arm64)SparseLPM_1.0.tgz(r-4.5-x86_64)SparseLPM_1.0.tgz(r-4.5-arm64)
SparseLPM_1.0.tar.gz(r-4.7-arm64)SparseLPM_1.0.tar.gz(r-4.7-x86_64)SparseLPM_1.0.tar.gz(r-4.6-arm64)SparseLPM_1.0.tar.gz(r-4.6-x86_64)
SparseLPM_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SparseLPM/json (API)

# Install 'SparseLPM' in R:
install.packages('SparseLPM', repos = c('https://riccardorastelli.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • 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.

cpp

1.00 score 5 scripts 227 downloads 5 exports 11 dependencies

Last updated from:e316fe44f9. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK148
source / vignettesOK197
linux-release-arm64OK138
linux-release-x86_64OK147
macos-release-arm64OK137
macos-release-x86_64OK248
macos-oldrel-arm64OK121
macos-oldrel-x86_64OK271
windows-devel-arm64OK239
windows-devel-x86_64OK171
windows-release-arm64OK239
windows-release-x86_64OK146
windows-oldrel-x86_64OK145
wasm-releaseOK122

Exports:slpm_elboslpm_genslpm_gofslpm_initslpm_nga

Dependencies:clustergtoolslatticeMASSMatrixmgcvnlmepermuteRcppRcppArmadillovegan