Package: OptimalSurrogate 1.0
OptimalSurrogate: Model Free Approach to Quantifying Surrogacy
Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) <doi:10.1093/biomet/asz065>.
Authors:
OptimalSurrogate_1.0.tar.gz
OptimalSurrogate_1.0.zip(r-4.7-any)OptimalSurrogate_1.0.zip(r-4.6-any)OptimalSurrogate_1.0.zip(r-4.5-any)
OptimalSurrogate_1.0.tgz(r-4.6-any)OptimalSurrogate_1.0.tgz(r-4.5-any)
OptimalSurrogate_1.0.tar.gz(r-4.7-any)OptimalSurrogate_1.0.tar.gz(r-4.6-any)
OptimalSurrogate_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OptimalSurrogate/json (API)
| # Install 'OptimalSurrogate' in R: |
| install.packages('OptimalSurrogate', repos = c('https://laylaparast.r-universe.dev', 'https://cloud.r-project.org')) |
- marker_cont - Simulated data with continuous surrogate marker
- marker_disc - Simulated data with discrete surrogate marker
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ccba9306a4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 85 | ||
| source / vignettes | OK | 152 | ||
| linux-release | OK | 119 | ||
| macos-release | OK | 82 | ||
| macos-oldrel | OK | 76 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 76 |
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated data with continuous surrogate marker | marker_cont |
| Simulated data with discrete surrogate marker | marker_disc |
| PTE estimation with a continuous surrogate marker | pte_cont |
| PTE estimation with a discrete surrogate marker | pte_disc |