survex
Explainable Machine Learning in Survival Analysis
Survival analysis models are commonly used in medicine and other areas. Many of them are too complex to be interpreted by human. Exploration and explanation is needed, but standard methods do not give a broad enough picture. 'survex' provides easy-to-apply methods for explaining survival models, both complex black-boxes and simpler statistical models. They include methods specific to survival analysis such as SurvSHAP(t) introduced in Krzyzinski et al., (2023)
- Version1.2.0
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- survex citation info
- Last release10/24/2023
Documentation
Team
Mikołaj Spytek
Mateusz Krzyziński
Sophie Langbein
Show author detailsRolesAuthorHubert Baniecki
Lorenz A. Kapsner
Przemyslaw Biecek
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- Depends1 package
- Imports6 packages
- Suggests20 packages