sampleE0: Sample e0 conditional on partition and K using an...

In telescope: Bayesian Mixtures with an Unknown Number of Components

Sample e0 conditional on partition and K using an Metropolis-Hastings step with log-normal proposal.

Description

Sample e_0 conditional on the current partition and value of K using an Metropolis-Hastings step with log-normal proposal.

Usage

sampleE0(K, Kp, N, Nk, s0_proposal, e0, log_p_e0)

Arguments

K	A number; indicating the number of components.
Kp	A number; indicating the number of filled components K_+.
N	A number; indicating the sample size.
Nk	An integer vector; indicating the group sizes in the partition.
s0_proposal	A numeric value; indicating the standard deviation of the random walk proposal.
e0	A numeric value; indicating the current value of e_0.
log_p_e0	A function; evaluating the log prior of e_0.

Value

A named list containing:

• "e0": a numeric, the new e_0 value.

• "acc": logical indicating acceptance.

telescope documentation built on April 4, 2025, 2:40 a.m.