Bayesian Macroeconometrics in R
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Updated
Jul 18, 2022 - C++
Bayesian Macroeconometrics in R
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Functions for Bayesian inference of vector autoregressive and vector error correction models
Bayesian Macroeconometrics C++ Library
R and Python package to model Bayesian VAR and VHAR models
Standard Bayesian VAR with conjugate priors and Minnesota dummy-observation priors (unit-root and cointegration dummies) for analyzing shock transmission between U.S. 5-year and 3-year T-Bills and Colombian 5-year TES.
Codes for BVHAR Research
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