A Novel SAFE Model for Predicting Climate-Related Extreme Losses

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.


Reference manual

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install.packages("SAFEPG")

0.0.1 by Qian Tang, a year ago


Browse source code at https://github.com/cran/SAFEPG


Authors: Qian Tang [aut, cre] , Yikai Zhang [aut] , Boxiang Wang [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, Matrix, methods

Suggests knitr, rmarkdown


See at CRAN