Package: SurrogateBMA 1.0

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>.

Authors:Yunshan Duan [aut, cre], Layla Parast [aut]

SurrogateBMA_1.0.tar.gz
SurrogateBMA_1.0.zip(r-4.7)SurrogateBMA_1.0.zip(r-4.6)SurrogateBMA_1.0.zip(r-4.5)
SurrogateBMA_1.0.tgz(r-4.6-x86_64)SurrogateBMA_1.0.tgz(r-4.6-arm64)SurrogateBMA_1.0.tgz(r-4.5-x86_64)SurrogateBMA_1.0.tgz(r-4.5-arm64)
SurrogateBMA_1.0.tar.gz(r-4.7-arm64)SurrogateBMA_1.0.tar.gz(r-4.7-x86_64)SurrogateBMA_1.0.tar.gz(r-4.6-arm64)SurrogateBMA_1.0.tar.gz(r-4.6-x86_64)
SurrogateBMA_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SurrogateBMA/json (API)

# Install 'SurrogateBMA' in R:
install.packages('SurrogateBMA', repos = c('https://yunshandys.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yunshandys/surrogatebma/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.70 score 122 downloads 11 exports 15 dependencies

Last updated from:60a8a205d2. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK134
source / vignettesOK174
linux-release-arm64OK183
linux-release-x86_64OK132
macos-release-arm64OK234
macos-release-x86_64OK398
macos-oldrel-arm64OK187
macos-oldrel-x86_64OK343
windows-develOK113
windows-releaseOK129
windows-oldrelOK136
wasm-releaseOK133

Exports:cv.npfpred.intgen.priorgpxi_intpost.modelpost.thetapred.funcR.BMA.estR.BMAonlyR.m.thetarcpp_hello_world

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregRcppRcppEigenRcppNumericalRsurrogateSparseMsurvival