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-4.5)SurrogateBMA_1.0.zip(r-4.4)SurrogateBMA_1.0.zip(r-4.3)
SurrogateBMA_1.0.tgz(r-4.4-x86_64)SurrogateBMA_1.0.tgz(r-4.4-arm64)SurrogateBMA_1.0.tgz(r-4.3-x86_64)SurrogateBMA_1.0.tgz(r-4.3-arm64)
SurrogateBMA_1.0.tar.gz(r-4.5-noble)SurrogateBMA_1.0.tar.gz(r-4.4-noble)
SurrogateBMA_1.0.tgz(r-4.4-emscripten)SurrogateBMA_1.0.tgz(r-4.3-emscripten)
SurrogateBMA.pdf |SurrogateBMA.html✨
SurrogateBMA/json (API)

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

Peer review:

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

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

On CRAN:

2.70 score 113 downloads 11 exports 15 dependencies

Last updated 9 months agofrom:60a8a205d2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64OKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64OKNov 01 2024
R-4.4-mac-x86_64OKNov 01 2024
R-4.4-mac-aarch64OKNov 01 2024
R-4.3-win-x86_64OKNov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

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

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregRcppRcppEigenRcppNumericalRsurrogateSparseMsurvival