Package: cohetsurr 1.1
Layla Parast
cohetsurr: Assessing Complex Heterogeneity in Surrogacy
Provides functions to assess and test for complex heterogeneity in the utility of a surrogate marker with respect to multiple baseline covariates, using both a parametric model and a semiparametric two-step model. More details are available in: Knowlton, R., Tian, L., & Parast, L. (2025). "A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker," Statistics in Medicine, 44(5), e70001 <doi:10.1002/sim.70001>. A tutorial for this package can be found at <https://laylaparast.com/home/cohetsurr.html>.
Authors:
cohetsurr_1.1.tar.gz
cohetsurr_1.1.tar.gz(r-4.5-noble)cohetsurr_1.1.tar.gz(r-4.4-noble)
cohetsurr_1.1.tgz(r-4.4-emscripten)cohetsurr_1.1.tgz(r-4.3-emscripten)
cohetsurr.pdf |cohetsurr.html✨
cohetsurr/json (API)
| # Install 'cohetsurr' in R: |
| install.packages('cohetsurr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- exampledata - Example data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 hours agofrom:6b2137c529. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 06 2025 |
| R-4.5-linux | OK | Mar 06 2025 |
| R-4.4-linux | OK | Mar 06 2025 |
Exports:complex.heterogeneity
Dependencies:matrixStatsmvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimates the proportion of treatment effect explained by the surrogate marker as a function of multiple baseline covariates. | complex.heterogeneity |
| Example data | exampledata |
