Introduction | Computational methods and theory | Program description with a data example | Mode of availability of the [basicstyle=darkgray]surrosurv package | Discussion
Package: surrosurv 1.1.27
Dan Chaltiel
surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <doi:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2017 <doi:10.1177/0962280217718582>).
Authors:
surrosurv_1.1.27.tar.gz
surrosurv_1.1.27.zip(r-4.7)surrosurv_1.1.27.zip(r-4.6)surrosurv_1.1.27.zip(r-4.5)
surrosurv_1.1.27.tgz(r-4.6-any)surrosurv_1.1.27.tgz(r-4.5-any)
surrosurv_1.1.27.tar.gz(r-4.7-any)surrosurv_1.1.27.tar.gz(r-4.6-any)
surrosurv_1.1.27.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
surrosurv/json (API)
| # Install 'surrosurv' in R: |
| install.packages('surrosurv', repos = c('https://oncostat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/oncostat/surrosurv/issues
Datasets:
Last updated from:ae96e92f21. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 173 | ||
| source / vignettes | OK | 227 | ||
| linux-release-x86_64 | OK | 178 | ||
| macos-release-arm64 | OK | 165 | ||
| macos-oldrel-arm64 | OK | 153 | ||
| windows-devel | OK | 132 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 108 | ||
| wasm-release | OK | 148 |
Exports:convalsconvergenceloocvplotssonpoissonizesimData.ccsimData.ghsimData.mxsimData.restesurrosurv
Dependencies:ADGofTestbootcliclustercolorspacecopulaehaexpmgenericsgluegsllatticelifecyclelme4magrittrMASSMatrixMatrixModelsminqamixmetamnormtmsmmvmetamvtnormnlmenloptrnumDerivoptimxparfmpcaPPpillarpkgconfigpracmapsplinequantregrbibutilsRcppRcppEigenRdpackreformulasrlangsnSparseMstabledistsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses | surrosurv-package |
| Assesses the convergence of fitted models for surrogacy evaluation | convals convals.surrosurv convergence convergence.surrosurv |
| Individual data from the adjuvant GASTRIC meta-analysis | gastadj |
| Individual data from the advanced GASTRIC meta-analysis | gastadv |
| Leave-one-trial-out cross-validation for treatment effect prediction | loocv loocv.surrosurv plot.loocvSurrosurv print.loocvSurrosurv |
| Transform survival data for fitting a Poisson model | plotsson poissonize |
| Generate survival times for two endpoints in a meta-analysis of randomized trials | simData.cc simData.gh simData.mx simData.re |
| Surrogate threshold effect | print.steSurrosurv ste |
| Fit and print the models for evaluating the surrogacy strength of a candidate surrogate endpoint | plot.predictSurrosurv plot.surrosurv predict.surrosurv print.predictSurrosurv print.surrosurv surrosurv |
