example_blsm_obj: Example BLSM object

In BLSM: Bayesian Latent Space Model

Description

BLSM object obtained by applying the Procrustean version of the latent space model to the unweighted network whose adjacency matrix is example_adjacency_matrix. Further details concerning the simulation are contained in the BLSM object itself.

Usage

example_blsm_obj

Format

BLSM object (blsm_obj), i.e. a list containing:

• Alpha α values from the sampled iterations

• Likelihood Log-likelihood values from the sampled iterations

• Iterations Latent space coordinates from the sampled iterations. Latent positions are stored in a 3D array whose dimensions are given by (1: number of nodes, 2: space dimensionality, 3: number of iterations). In the non-Procrustean framework the latent distances are given instead of the positions: another 3D array is returned, whose dimensions are given by (1: number of nodes, 2: number of nodes, 3: number of iterations). The command needed in order to get the average values over the iterations for either the positions or the distances is rowMeans(blsm_obj$Iterations, dims=2) (see example below).

• StartingPositions Latent space coordinates right after the initialization step. In the non-Procrustean framework starting distances are given instead.

• Matrix Original matrices of the network (adjacency and BLSM weights)

• Parameters List of parameters specified during the call to estimate_latent_positions

BLSM documentation built on May 2, 2019, 2:45 p.m.