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>.

Version: 1.1
Imports: stats, matrixStats, mvtnorm
Published: 2025-03-06
DOI: 10.32614/CRAN.package.cohetsurr
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast at austin.utexas.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: cohetsurr results

Documentation:

Reference manual: cohetsurr.pdf

Downloads:

Package source: cohetsurr_1.1.tar.gz
Windows binaries: r-devel: cohetsurr_1.1.zip, r-release: cohetsurr_1.1.zip, r-oldrel: cohetsurr_1.1.zip
macOS binaries: r-devel (arm64): cohetsurr_1.1.tgz, r-release (arm64): cohetsurr_1.1.tgz, r-oldrel (arm64): cohetsurr_1.1.tgz, r-devel (x86_64): cohetsurr_1.1.tgz, r-release (x86_64): cohetsurr_1.1.tgz, r-oldrel (x86_64): cohetsurr_1.1.tgz
Old sources: cohetsurr archive

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