alpha_up: Update step for the alpha variable

In BLSM: Bayesian Latent Space Model

Description

Accept/reject the proposal for the α model variable

Usage

alpha_up(Y, lpz, W, alpha, adelta, a_a, a_b)

Arguments

Y	Adjacency matrix of the observed network
lpz	Matrix containing the negative square root of the Euclidean distances between latent positions
W	BLSM Weights matrix of the observed network
alpha	Model variable α
adelta	The uniform proposal for α is defined on the [-adelta,+adelta] interval
a_a	Shape parameter of the Gamma prior distribution for α. The value is usually set to 1, so the prior is actually an exponential distribution.
a_b	Rate parameter of the Gamma prior distribution for α.

Value

Updated value of the α variable

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