sampleAlpha: Sample alpha Conditional on Partition and K Using an...
In telescope: Bayesian Mixtures with an Unknown Number of Components

View source: R/sample_e0_alpha.R

sampleAlpha

R Documentation

Sample alpha Conditional on Partition and K Using an Metropolis-Hastings Step with Log-Normal Proposal

Description

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

Usage

sampleAlpha(N, Nk, K, alpha, s0_proposal, log_pAlpha)

Arguments

`N`	A number; indicating the sample size.
`Nk`	An integer vector; indicating the group sizes in the partition.
`K`	A number; indicating the number of components.
`alpha`	A numeric value; indicating the value for `\alpha`.
`s0_proposal`	A numeric value; indicating the standard deviation of the random walk.
`log_pAlpha`	A function; evaluating the log prior of `\alpha`.

Value

A named list containing:

"alpha": a numeric, the new \alpha value.
"acc": logical indicating acceptance.

telescope documentation built on April 10, 2026, 9:09 a.m.

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