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survex

Explainable Machine Learning in Survival Analysis

v1.2.0 · Oct 24, 2023 · GPL (>= 3)

Description

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) <doi:10.1016/j.knosys.2022.110234>, SurvLIME described in Kovalev et al., (2020) <doi:10.1016/j.knosys.2020.106164> as well as extensions of existing ones described in Biecek et al., (2021) <doi:10.1201/9780429027192>.

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r-devel-linux-x86_64-debian-gcc OK
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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Package required but not available: ‘pec’

Packages suggested but not available for checking:
  'censored', 'flexsurv', 'parsnip', 'randomForestSRC', 'rms'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

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Dependency Network

Dependencies Reverse dependencies DALEX ggplot2 kernelshap pec survival patchwork highMLR SuperSurv survex

Version History

6 tracked
new 1.2.0 Mar 10, 2026
updated 1.2.0 ← 1.1.3 diff Oct 23, 2023
updated 1.1.3 ← 1.0.0 diff Sep 5, 2023
updated 1.0.0 ← 0.2.2 diff Mar 19, 2023
updated 0.2.2 ← 0.1.1 diff Nov 30, 2022
new 0.1.1 Sep 4, 2022