Package: gdpar Type: Package Title: General Dynamic Parameter Models via Reference Anchoring Version: 0.1.0 Authors@R: person("José Mauricio", "Gómez Julián", email = "isadore.nabi@pm.me", role = c("aut", "cre"), comment = c(ORCID = "0009-0000-2412-3150")) Description: Implements a unified predictive framework in which individual parameters are decomposed as theta_i equal to theta_ref plus Delta(x_i, theta_ref), with theta_ref a population reference and Delta an explicit deviation function. The decomposition follows the Additive-Multiplicative-Modulated canonical form and is estimated through three complementary paths: hierarchical Bayesian inference via 'Stan', varying-coefficient models via penalized splines, and amortized inference via hypernetworks in 'torch'. The package provides identifiability diagnostics, validity tests for the population reference, and benchmarks against canonical zero-inflated count datasets and avian abundance data from the eBird Status and Trends project. The framework and its estimation paths are described in Gomez Julian (2026) . License: GPL (>= 3) Encoding: UTF-8 URL: https://github.com/IsadoreNabi/gdpar BugReports: https://github.com/IsadoreNabi/gdpar/issues Depends: R (>= 4.2.0) Imports: posterior, stats, methods, withr Suggests: cmdstanr, loo, bayesplot, DHARMa, digest, mgcv, Matrix, pscl, AER, ebirdst, knitr, rmarkdown, testthat (>= 3.0.0), kableExtra, brms, INLA, rstanarm, scoringRules, gratia, grf, reticulate, mvnfast Additional_repositories: https://stan-dev.r-universe.dev, https://inla.r-inla-download.org/R/stable VignetteBuilder: knitr Config/testthat/edition: 3 RoxygenNote: 8.0.0 NeedsCompilation: no Packaged: 2026-07-15 21:43:53 UTC; root Author: José Mauricio Gómez Julián [aut, cre] (ORCID: ) Maintainer: José Mauricio Gómez Julián Repository: https://cran.r-universe.dev Date/Publication: 2026-07-15 18:10:02 UTC RemoteUrl: https://github.com/cran/gdpar RemoteRef: HEAD RemoteSha: 2be5392367992d694e7afaac59d51024b9ab59bd