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BLSM
View on CRAN: Click
here
Download and install BLSM package within the R console
Install from CRAN:
install.packages("BLSM")
Install from Github:
library("remotes")
install_github("cran/BLSM")
Install by package version:
library("remotes")
install_version("BLSM", "0.1.0")
Attach the package and use:
library("BLSM")
Maintained by
Alberto Donizetti
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-26
Latest Update: 2018-04-26
Description:
Provides a Bayesian latent space
model for complex networks, either weighted or unweighted.
Given an observed input graph, the estimates for the latent coordinates
of the nodes are obtained through a Bayesian MCMC algorithm.
The overall likelihood of the graph depends on a fundamental probability
equation, which is defined so that ties are more likely to exist
between nodes whose latent space coordinates are close.
The package is mainly based on the model by Hoff, Raftery and Handcock (2002)
and contains some extra features
(e.g., removal of the Procrustean step, weights implemented as
coefficients of the latent distances, 3D plots).
The original code related to the above model was retrieved from
.
Users can inspect the MCMC simulation, create and customize insightful
graphical representations or apply clustering techniques.
How to cite:
Alberto Donizetti (2018). BLSM: Bayesian Latent Space Model. R package version 0.1.0, https://cran.r-project.org/web/packages/BLSM. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited BLSM R package
View BLSM citation profile
Other R packages that BLSM depends,
imports, suggests or enhances
Complete documentation for BLSM
Functions, R codes and Examples using
the BLSM R package
Some associated functions: BLSM . Z_up . alpha_up . dst . estimate_latent_positions . example_adjacency_matrix . example_blsm_obj . example_weights_matrix . lpY . lpYNODE . lpz_dist . lpz_distNODE . mlpY . plot_latent_positions . plot_traceplots_acf . proc_crr .
Some associated R codes: RcppExports.R . blsm.R . data.R . package.R . Full BLSM package functions and examples
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