Bayesian Methods for Economic Data Disaggregation R package BayesianDisaggregation version 0.1.2 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. Software 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) José Mauricio Gómez Julián <isadore.nabi@pm.me> Comprehensive R Archive Network (CRAN) José Mauricio Gómez Julián [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesianDisaggregation/LICENSE) 2025-10-16 application/tgz https://CRAN.R-project.org/package=BayesianDisaggregation doi:10.32614/CRAN.package.BayesianDisaggregation