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survcompare
View on CRAN: Click
here
Download and install survcompare package within the R console
Install from CRAN:
install.packages("survcompare")
Install from Github:
library("remotes")
install_github("cran/survcompare")
Install by package version:
library("remotes")
install_version("survcompare", "0.2.0")
Attach the package and use:
library("survcompare")
Maintained by
Diana Shamsutdinova
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.survcompare . survcompare results . survcompare.pdf . survcompare_0.2.0.tar.gz . survcompare_0.2.0.zip . survcompare_0.2.0.zip . survcompare_0.2.0.zip . survcompare_0.2.0.tgz . survcompare_0.2.0.tgz . survcompare_0.2.0.tgz . survcompare_0.2.0.tgz . survcompare_0.2.0.tgz . survcompare_0.2.0.tgz . survcompare archive . https://CRAN.R-project.org/package=survcompare .
First Published: 2024-01-22
Latest Update: 2024-01-22
Description:
Performs repeated nested cross-validation for Cox Proportionate Hazards, Cox Lasso, Survival Random Forest, and their ensemble. Returns internally validated concordance index, time-dependent area under the curve, Brier score, calibration slope, and statistical testing of non-linear ensemble outperforming the baseline Cox model. In this, it helps researchers to quantify the gain of using a more complex survival model, or justify its redundancy. Equally, it shows the performance value of the non-linear and interaction terms, and may highlight the need of further feature transformation. Further details can be found in Shamsutdinova, Stamate, Roberts, & Stahl (2022) "Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes" <doi:10.1007/978-3-031-08337-2_15>, where the method is described as Ensemble 1.
How to cite:
Diana Shamsutdinova (2024). survcompare: Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests. R package version 0.2.0, https://cran.r-project.org/web/packages/survcompare. Accessed 28 Feb. 2025.
Previous versions and publish date:
0.1.2 (2024-01-22 18:20)
Other packages that cited survcompare R package
View survcompare citation profile
Other R packages that survcompare depends,
imports, suggests or enhances
Complete documentation for survcompare
Functions, R codes and Examples using
the survcompare R package
Some associated functions: cox_calibration_stats . linear_beta . predict.survensemble . print.survcompare . print.survensemble . print.survensemble_cv . simulate_crossterms . simulate_linear . simulate_nonlinear . srf_survival_prob_for_time . summary.survcompare . summary.survensemble . summary.survensemble_cv . surv_brierscore . surv_validate . survcompare . survcox_cv . survcox_predict . survcox_train . survcoxlasso_train . survensemble_cv . survensemble_train . survival_prob_km . survsrf_cv . survsrf_predict . survsrf_train . survsrf_tune .
Some associated R codes: simulate.R . summary.survcompare.R . surv_CV.R . surv_CoxPH.R . surv_SRF.R . surv_ensemble.R . surv_survcompare.R . survcompare.R . utils.R . Full survcompare package functions and examples
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