BAYESINITS: Stata module to generate domain-aware, chain-specific initial values for bayesmh

Ben Dwamena
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Ben Dwamena: Division of Nuclear Medicine and Molecular Imaging, University of Michigan Health System, Ann Arbor

Statistical Software Components from Boston College Department of Economics

Abstract: bayesinits generates randomized, domain-respecting initial values for one or more Markov chains for use with bayesmh's init#() options. It supports unconstrained, positive (log-scale), correlation (Fisher-z), Fisher-z, angular, and simplex parameter domains; returns chain-specific strings in r(init1)...r(initK) plus composite strings r(init_all) and r(init_all_wrap); and provides seed and rngstream controls for reproducible, dispersed starting values across chains.

Requires: Stata version 15
Keywords: Bayesian estimation; initial values; Markov chains (search for similar items in EconPapers)
Date: 2026-09-15, Revised 2026-09-21
Note: This module should be installed from within Stata by typing "ssc install bayesinits". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/b/bayesinits.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bayesinits.sthlp help file (text/plain)

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