# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "BayesianDisaggregation" in publications use:' type: software license: MIT title: 'BayesianDisaggregation: Bayesian Methods for Economic Data Disaggregation' version: 0.1.2 doi: 10.32614/CRAN.package.BayesianDisaggregation abstract: 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) and Bayesian principles (Gelman et al., 2013) , the specific integration for economic disaggregation represents an original methodological contribution. authors: - family-names: Gómez Julián given-names: José Mauricio email: isadore.nabi@pm.me repository: https://isadorenabi.r-universe.dev commit: 45fa2c4460163450338a8accca0e16d21b5b3083 date-released: '2025-10-24' contact: - family-names: Gómez Julián given-names: José Mauricio email: isadore.nabi@pm.me