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Machine Learning Models for Predicting Claim Counts

Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 ReSurv_1.0.0.tar.gz 323.6 KiB
1.0.0 rolling linux/noble R-4.5 ReSurv_1.0.0.tar.gz 323.6 KiB
1.0.0 rolling source/ R- ReSurv_1.0.0.tar.gz 150.8 KiB
1.0.0 latest linux/jammy R-4.5 ReSurv_1.0.0.tar.gz 323.6 KiB
1.0.0 latest linux/noble R-4.5 ReSurv_1.0.0.tar.gz 323.6 KiB
1.0.0 latest source/ R- ReSurv_1.0.0.tar.gz 150.8 KiB
1.0.0 2026-04-26 source/ R- ReSurv_1.0.0.tar.gz 150.8 KiB
1.0.0 2026-04-23 source/ R- ReSurv_1.0.0.tar.gz 150.8 KiB
1.0.0 2026-04-09 windows/windows R-4.5 ReSurv_1.0.0.zip 332.6 KiB
1.0.0 2025-04-20 source/ R- ReSurv_1.0.0.tar.gz 150.8 KiB

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