Value-Price Analysis with Bayesian and Panel Data Methods R package valueprhr version 0.1.0 Provides tools for analyzing the relationship between direct prices (based on labor values) and prices of production using Bayesian generalized linear models, panel data methods, partial least squares regression, canonical correlation analysis, and panel vector autoregression. Includes functions for model comparison, out-of-sample validation, and structural break detection. Here, methods use raw accounting data with explicit temporal structure, following Gomez Julian (2023) <doi:10.17605/OSF.IO/7J8KF> and standard econometric techniques for panel data analysis. Software Depends: R (>= 4.1.0) Imports: stats, utils, Metrics Suggests: rstanarm, loo, plm, lme4, pls, vars, panelvar, strucchange, lmtest, sandwich, dplyr, tidyr, tibble, testthat (>= 3.0.0), knitr, rmarkdown Jose Mauricio Gomez Julian <isadore.nabi@pm.me> Comprehensive R Archive Network (CRAN) Jose Mauricio Gomez Julian [aut, cre] (ORCID: <https://orcid.org/0009-0000-2412-3150>) MIT + file LICENSE (https://CRAN.R-project.org/package=valueprhr/LICENSE) 2025-12-09 application/tgz https://CRAN.R-project.org/package=valueprhr doi:10.32614/CRAN.package.valueprhr