SurrogateBMA: Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging

Provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.9), MCMCpack, mvtnorm, Rsurrogate
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Published: 2024-02-01
DOI: NA
Author: Yunshan Duan [aut, cre], Layla Parast [aut]
Maintainer: Yunshan Duan <yunshan at utexas.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: SurrogateBMA results

Documentation:

Reference manual: SurrogateBMA.pdf

Downloads:

Package source: SurrogateBMA_1.0.tar.gz
Windows binaries: r-devel: SurrogateBMA_1.0.zip, r-release: SurrogateBMA_1.0.zip, r-oldrel: SurrogateBMA_1.0.zip
macOS binaries: r-release (arm64): SurrogateBMA_1.0.tgz, r-oldrel (arm64): SurrogateBMA_1.0.tgz, r-release (x86_64): SurrogateBMA_1.0.tgz, r-oldrel (x86_64): SurrogateBMA_1.0.tgz

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