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 |
| 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 |
| Reference manual: | BayesianDisaggregation.html , BayesianDisaggregation.pdf |
| Vignettes: |
Marco de Análisis de Sensibilidad (source, R code) Sensitivity Analysis Framework (source, R code) |
| Package source: | BayesianDisaggregation_0.1.2.tar.gz |
| Windows binaries: | r-devel: BayesianDisaggregation_0.1.2.zip, r-release: BayesianDisaggregation_0.1.2.zip, r-oldrel: BayesianDisaggregation_0.1.2.zip |
| 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 |
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