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gdpar

0.1.0

General Dynamic Parameter Models via Reference Anchoring

0packages depend
104downloads / year
57.5%test coverage
13/13checks pass

Overview

About
Maintained by José Mauricio Gómez JuliánFirst published 2026-07-161 releasesCRAN page ↗GitHub ↗

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) doi:10.5281/zenodo.21046269.

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CRAN checks
13OK
Slowest check: 9.8 min · r-devel-linux-x86_64-fedora-clang
Check history
  • OK2026-07-16
    5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Repository

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4 commits · Last activity 2026-07-07

Repository practices

Upstream repositoryBeta

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Checks run against github.com/isadorenabi/gdpar on 2026-07-19.

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How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2.0
Imports (4)
posteriorstatsmethodswithr
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none
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none
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Code & Tests

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Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-07-16 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-16
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
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