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
Loglikelihood 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 nonProcrustean 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 nonProcrustean 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