# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "gdpar" in publications use:' type: software license: GPL-3.0-or-later title: 'gdpar: General Dynamic Parameter Models via Reference Anchoring' version: 0.1.0 abstract: '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) .' authors: - family-names: Gómez Julián given-names: José Mauricio email: isadore.nabi@pm.me orcid: https://orcid.org/0009-0000-2412-3150 repository: https://cran.r-universe.dev repository-code: https://github.com/IsadoreNabi/gdpar commit: 2be5392367992d694e7afaac59d51024b9ab59bd url: https://github.com/IsadoreNabi/gdpar date-released: '2026-07-15' contact: - family-names: Gómez Julián given-names: José Mauricio email: isadore.nabi@pm.me orcid: https://orcid.org/0009-0000-2412-3150