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
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_1.0.zip, r-release: cohetsurr_1.0.zip, r-oldrel: cohetsurr_1.0.zip
macOS binaries:	r-devel (arm64): cohetsurr_1.0.tgz, r-release (arm64): cohetsurr_1.0.tgz, r-oldrel (arm64): cohetsurr_1.0.tgz, r-devel (x86_64): cohetsurr_1.0.tgz, r-release (x86_64): cohetsurr_1.0.tgz, r-oldrel (x86_64): cohetsurr_1.0.tgz
Old sources:	cohetsurr archive

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