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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SAFEPG" in publications use:'
type: software
license: GPL-2.0-only
title: 'SAFEPG: A Novel SAFE Model for Predicting Climate-Related Extreme Losses'
version: 0.0.1
doi: 10.32614/CRAN.package.SAFEPG
abstract: The goal of 'SAFEPG' is to predict climate-related extreme losses by fitting
  a frequency-severity model. It improves predictive performance by introducing a
  sign-aligned regularization term, which ensures consistent signs for the coefficients
  across the frequency and severity components. This enhancement not only increases
  model accuracy but also enhances its interpretability, making it more suitable for
  practical applications in risk assessment.
authors:
- family-names: Tang
  given-names: Qian
  email: qian-tang@uiowa.edu
- family-names: Zhang
  given-names: Yikai
  email: yikai-zhang@uiowa.edu
- family-names: Wang
  given-names: Boxiang
  email: boxiang-wang@uiowa.edu
repository: https://qiantang0326.r-universe.dev
commit: 6ee49981094e10568fd0cf10d0a19ad29ffa9ab9
date-released: '2025-05-01'
contact:
- family-names: Tang
  given-names: Qian
  email: qian-tang@uiowa.edu