example_blsm_obj {BLSM} | R Documentation |
Example BLSM object
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
\alpha
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 isrowMeans(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