Package: SurvEval 1.1
Sean Devlin
SurvEval: Methods for the Evaluation of Survival Models
Provides predictive accuracy tools to evaluate time-to-event survival models. This includes calculating the concordance probability estimate that incorporates the follow-up time for a particular study developed by Devlin, Gonen, Heller (2020)<doi:10.1007/s10985-020-09503-3>. It also evaluates the concordance probability estimate for nested Cox proportional hazards models using a projection-based approach by Heller and Devlin (under review).
Authors:
SurvEval_1.1.tar.gz
SurvEval_1.1.tar.gz(r-4.5-noble)SurvEval_1.1.tar.gz(r-4.4-noble)
SurvEval_1.1.tgz(r-4.4-emscripten)SurvEval_1.1.tgz(r-4.3-emscripten)
SurvEval.pdf |SurvEval.html✨
SurvEval/json (API)
# Install 'SurvEval' in R: |
install.packages('SurvEval', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:0214959f1f. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux-x86_64 | OK | Dec 11 2024 |
Exports:ProjectionCPEstCPE
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Methods for the Evaluation of Survival Models. | SurvEval-package SurvEval |
Projecton-based Approach to Estimate the CPE from Nested Survival Models. | ProjectionCPE |
Estimate the Durability of a Baseline Risk Score or the CPE for a Fixed Follow-up Duration. | stCPE |