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message: 'To cite package "dgevbhm" in publications use:'
type: software
license: MIT
title: 'dgevbhm: Bayesian Hierarchical Modeling for Duration-Dependent GEV'
version: 0.1.0
doi: 10.32614/CRAN.package.dgevbhm
abstract: The dgevbhm package is a software package written in R and Stan that offers
  a Bayesian hierarchical regional framework to estimate the occurrence probability
  of extreme precipitation based on small sample sizes, as sub-daily observations
  and high-resolution climate model simulations typically cover less than 50 years.
  dgevbhm features Bayesian parameter estimation for the duration-dependent Generalized
  Extreme Value distribution, which requires annual maxima of precipitation across
  different durations. By utilizing No U-turn sampling via rstan, models sample posterior
  samples more efficiently, and with the help tensor computation via torch these large
  posterior samples are computed quicker and more efficiently. Furthermore, the package
  provides model application and evaluation tools to guide the user in model selection,
  as well as making inferences from model output to generate robust estimations of
  intensity-duration-frequency curves.
authors:
- family-names: Rischmuller
  given-names: Alexander Lee
  email: alex.rischmuller@gmail.com
repository: https://alexleer.r-universe.dev
commit: e9c13a7f17e12b3fbc12a6aded54dbb4d2a90f48
date-released: '2026-05-19'
contact:
- family-names: Rischmuller
  given-names: Alexander Lee
  email: alex.rischmuller@gmail.com