Package: BayesianDisaggregation Title: Evidence-Based Bayesian Disaggregation of Aggregate Indices Version: 0.2.1 Depends: R (>= 4.1.0) Authors@R: person("José Mauricio", "Gómez Julián", email = "isadore.nabi@pm.me", role = c("aut", "cre"), comment = c(ORCID = "0009-0000-2412-3150")) Description: Disaggregates an observed aggregate price index into sectoral components with a Bayesian state-space model in which the aggregate enters as a genuine observation density rather than as a renormalization identity. A random-walk-with-drift transition in log space (with partial pooling on the drift and the innovation scale) and an estimable cross-sectional concentration produce posterior draws of the sectoral indices with credible intervals, suitable as multiple-imputation input for downstream dynamic models. The Hamiltonian Monte Carlo engine follows Stan (Carpenter et al., 2017) ; model comparison uses Pareto Smoothed Importance Sampling Leave-One-Out cross-validation (Vehtari, Gelman and Gabry, 2017) . A closed-form linear-Gaussian Kalman/RTS smoother provides an exact, MCMC-free Bayesian alternative for the same aggregate evidence. License: MIT + file LICENSE Encoding: UTF-8 Imports: readxl, dplyr, tidyr, stringr, magrittr, stats, parallel Suggests: cmdstanr, rstan (>= 2.21.0), posterior, loo (>= 2.5.0), knitr, rmarkdown, ggplot2, readr, testthat (>= 3.0.0) Additional_repositories: https://mc-stan.org/r-packages/ VignetteBuilder: knitr NeedsCompilation: no Author: José Mauricio Gómez Julián [aut, cre] () Maintainer: José Mauricio Gómez Julián Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: libicu-dev Repository: https://isadorenabi.r-universe.dev Date/Publication: 2026-06-22 16:24:54 UTC RemoteUrl: https://github.com/IsadoreNabi/BayesianDisaggregation RemoteRef: HEAD RemoteSha: c10bbf1b5a198fd546bb0eb565bf1d055c6c5427 Packaged: 2026-06-22 19:32:38 UTC; root