Package: survinng 0.1.0

Niklas Koenen

survinng: Gradient-Based Feature Attribution for Survival Neural Networks

This package implements model-specific, gradient-based feature attribution methods for deep survival neural networks, including DeepHit, CoxTime, and DeepSurv. It accompanies the ICML 2025 paper "Gradient-based Explanations for Deep Learning Survival Models".

Authors:Niklas Koenen [aut, cre], Sophie Hanna Langbein [aut]

survinng_0.1.0.tar.gz
survinng_0.1.0.zip(r-4.7)survinng_0.1.0.zip(r-4.6)survinng_0.1.0.zip(r-4.5)
survinng_0.1.0.tgz(r-4.6-any)survinng_0.1.0.tgz(r-4.5-any)
survinng_0.1.0.tar.gz(r-4.7-any)survinng_0.1.0.tar.gz(r-4.6-any)
survinng_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
survinng/json (API)
NEWS

# Install 'survinng' in R:

install.packages('survinng', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bips-hb/survinng/issues

Pkgdown/docs site:https://bips-hb.github.io

On CRAN:

2.38 score 1 stars 16 scripts 10 exports 38 dependencies

Last updated from:37e2ae0114. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	180
source / vignettes	OK	249
linux-release-x86_64	OK	182
macos-release-arm64	OK	156
macos-oldrel-arm64	OK	165
windows-devel	OK	122
windows-release	OK	183
windows-oldrel	OK	102
wasm-release	OK	137

Exports:explain extract_model plot_attr plot_contr plot_force plot_pred surv_grad surv_gradSHAP surv_intgrad surv_smoothgrad

Dependencies:backports bit bit64 callr checkmate cli coro cpp11 desc dplyr farver generics ggplot2 glue gtable isoband jsonlite labeling lifecycle magrittr pillar pkgconfig processx ps R6 RColorBrewer Rcpp rlang S7 safetensors scales tibble tidyselect torch utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert survival attribution results to a data.frame	as.data.frame.surv_result as.data.table.surv_result
Explain a model	explain explain.extracted_survivalmodels_coxtime explain.extracted_survivalmodels_deephit explain.extracted_survivalmodels_deepsurv explain.nn_module
Extract model information from a 'survivalmodels' object	extract_model extract_model.coxtime extract_model.deephit extract_model.deepsurv
Plot Methods for Survival Attribution Results	plot.surv_result plot_attr plot_contr plot_force plot_pred
Custom print method for explainer objects	print.explainer_coxtime print.explainer_deephit print.explainer_deepsurv
Print method for extracted pycox survival model	print.extracted_survivalmodels_coxtime print.extracted_survivalmodels_deephit print.extracted_survivalmodels_deepsurv
Print function for surv_result objects	print.surv_result
Calculate the Gradient of the Survival Function	surv_grad surv_grad.explainer_coxtime surv_grad.explainer_deephit surv_grad.explainer_deepsurv
Calculate the GradSHAP values of the Survival Function	surv_gradSHAP surv_gradSHAP.explainer_coxtime surv_gradSHAP.explainer_deephit surv_gradSHAP.explainer_deepsurv
Calculate the Integrated Gradients of the Survival Function	surv_intgrad surv_intgrad.explainer_coxtime surv_intgrad.explainer_deephit surv_intgrad.explainer_deepsurv
Calculate the SmoothGrad values of the Survival Function	surv_smoothgrad surv_smoothgrad.explainer_coxtime surv_smoothgrad.explainer_deephit surv_smoothgrad.explainer_deepsurv