Package: BayesianDisaggregation
Title: Bayesian Methods for Economic Data Disaggregation
Version: 0.1.2
Depends: R (>= 4.1.0)
Authors@R: person("José Mauricio", "Gómez Julián", email = "isadore.nabi@pm.me", role = c("aut", "cre"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, dplyr, tidyr, stringr, foreach, doParallel, openxlsx,
        rlang, tibble, magrittr
Suggests: knitr, rmarkdown, ggplot2, readr, testthat (>= 3.0.0)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-09 15:47:09 UTC; ROG
Author: José Mauricio Gómez Julián [aut, cre]
Maintainer: José Mauricio Gómez Julián <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-16 11:40:21 UTC
Built: R 4.6.0; ; 2026-04-26 16:26:02 UTC; unix
