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BayesianDisaggregation  

Evidence-Based Bayesian Disaggregation of Aggregate Indices
View on CRAN: Click here


Download and install BayesianDisaggregation package within the R console
Install from CRAN:
install.packages("BayesianDisaggregation")

Install from Github:
library("remotes")
install_github("cran/BayesianDisaggregation")

Install by package version:
library("remotes")
install_version("BayesianDisaggregation", "0.2.1")



Attach the package and use:
library("BayesianDisaggregation")
Maintained by
José Mauricio Gómez Julián
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-16
Latest Update: 2025-10-16
Description:
Implements a novel Bayesian disaggregation framework that combines Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) dimension reduction of prior weight matrices with deterministic Bayesian updating rules. The method provides Markov Chain Monte Carlo (MCMC) free posterior estimation with built-in diagnostic metrics. While based on established PCA (Jolliffe, 2002) <doi:10.1007/b98835> and Bayesian principles (Gelman et al., 2013) <doi:10.1201/b16018>, the specific integration for economic disaggregation represents an original methodological contribution.
How to cite:
José Mauricio Gómez Julián (2025). BayesianDisaggregation: Evidence-Based Bayesian Disaggregation of Aggregate Indices. R package version 0.2.1, https://cran.r-project.org/web/packages/BayesianDisaggregation. Accessed 25 Oct. 2026.
Previous versions and publish date:
0.1.2 (2025-10-16 13:40), (2026-07-09 07:58)
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Complete documentation for BayesianDisaggregation
Functions, R codes and Examples using the BayesianDisaggregation R package
Full BayesianDisaggregation package functions and examples
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