The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SurrogateBMA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.