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:Rebecca Knowlton [aut], Layla Parast [aut, cre]

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'))
Datasets:

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 192 downloads 1 exports 2 dependencies

Last updated 1 hours agofrom:6b2137c529. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-linuxOKMar 06 2025

Exports:complex.heterogeneity

Dependencies:matrixStatsmvtnorm