Model.p.BetaPrior: Model for a Random One-dimensional p

In systemicrisk: Systemic Risk and Network Reconstruction

Model for a Random One-dimensional p

Description

Assumes a Beta prior on the one-dimensional link existence probabilities p. This model has a one-dimensional parameter.

Usage

Model.p.BetaPrior(n, shape1 = 1, shape2 = 1)

Arguments

n	dimension of matrix.
shape1	first parameter of Beta prior. Default 1.
shape2	second parameter of Beta prior. Default 1.

Value

the resulting model.

Examples

m <- Model.p.BetaPrior(5)
m$matr(m$rtheta())

systemicrisk documentation built on May 29, 2024, 9:20 a.m.