summary.LSM: Get summaries of a LSM object

In insongkim/polnet: Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics

Description

summary.LSM() takes an object returned by LSM, and returns a matrix of the mean, standard deviation, and credible interval of the latent space with all chains being merged

Usage

summary.LSM(LSM_Object, low_perc = 0.1, high_perc = 0.9)

Arguments

LSM_Object	A trained object of class LSM
low_perc	The bottom range of the desired credible interval, defaults to 0.1
high_perc	The top range of the credible interval, defaults to 0.9

Value

A matrix that includes the mean, standard deviation, and credible interval of the latent space estimated by the LSM algorithm. The row embeddings are the client latent space positions, while the column embeddings are the legislator latent space positions.

insongkim/polnet documentation built on March 3, 2020, 11:55 p.m.