BayesianDisaggregation: Bayesian Methods for Economic Data Disaggregation

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.

Version:	0.1.2
Depends:	R (≥ 4.1.0)
Imports:	readxl, dplyr, tidyr, stringr, foreach, doParallel, openxlsx, rlang, tibble, magrittr
Suggests:	knitr, rmarkdown, ggplot2, readr, testthat (≥ 3.0.0)
Published:	2025-10-16
DOI:	10.32614/CRAN.package.BayesianDisaggregation (may not be active yet)
Author:	José Mauricio Gómez Julián [aut, cre]
Maintainer:	José Mauricio Gómez Julián <isadore.nabi at pm.me>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	BayesianDisaggregation results

Documentation:

Reference manual:	BayesianDisaggregation.html , BayesianDisaggregation.pdf
Vignettes:	Marco de Análisis de Sensibilidad (source, R code) Sensitivity Analysis Framework (source, R code)

Downloads:

Package source:	BayesianDisaggregation_0.1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: BayesianDisaggregation_0.1.2.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): BayesianDisaggregation_0.1.2.tgz, r-oldrel (arm64): BayesianDisaggregation_0.1.2.tgz, r-release (x86_64): BayesianDisaggregation_0.1.2.tgz, r-oldrel (x86_64): BayesianDisaggregation_0.1.2.tgz

Linking:

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