ACSSpack
ACSS, Corresponding ACSS, and GLP Algorithm
Allow user to run the Adaptive Correlated Spike and Slab (ACSS) algorithm, corresponding INdependent Spike and Slab (INSS) algorithm, and Giannone, Lenza and Primiceri (GLP) algorithm with adaptive burn-in. All of the three algorithms are used to fit high dimensional data set with either sparse structure, or dense structure with smaller contributions from all predictors. The state-of-the-art GLP algorithm is in Giannone, D., Lenza, M., & Primiceri, G. E. (2021, ISBN:978-92-899-4542-4) "Economic predictions with big data: The illusion of sparsity". The two new algorithms, ACSS algorithm and INSS algorithm, and the discussion on their performance can be seen in Yang, Z., Khare, K., & Michailidis, G. (2024, preprint) "Bayesian methodology for adaptive sparsity and shrinkage in regression".
- Version0.0.1.4
- R version≥ 3.0.2
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/04/2024
Team
Ziqian Yang
Kshitij Khare
Show author detailsRolesAuthorGeorge Michailidis
Show author detailsRolesAuthor
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- Imports3 packages
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