Other packages > Find by keyword >

gdpar  

General Dynamic Parameter Models via Reference Anchoring
View on CRAN: Click here


Download and install gdpar package within the R console
Install from CRAN:
install.packages("gdpar")

Install from Github:
library("remotes")
install_github("cran/gdpar")

Install by package version:
library("remotes")
install_version("gdpar", "0.1.0")



Attach the package and use:
library("gdpar")
Maintained by
José Mauricio Gómez Julián
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-15
Latest Update: 2026-07-15
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) <doi:10.5281/zenodo.21046269>.
How to cite:
José Mauricio Gómez Julián (2026). gdpar: General Dynamic Parameter Models via Reference Anchoring. R package version 0.1.0, https://cran.r-project.org/web/packages/gdpar. Accessed 13 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited gdpar R package
View gdpar citation profile
Other R packages that gdpar depends, imports, suggests or enhances
Complete documentation for gdpar
Functions, R codes and Examples using the gdpar R package
Full gdpar package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dafs  
Data Analysis for Forensic Scientists
Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientis ...
Download / Learn more Package Citations See dependency  
weibullness  
Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) a ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
robust2sls  
Outlier Robust Two-Stage Least Squares Inference and Testing
An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) mode ...
Download / Learn more Package Citations See dependency  
covid19us  
Cases of COVID-19 in the United States
A wrapper around the 'COVID Tracking Project API' providing data o ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA