Package: midas2 1.1.0

Su Liwen

midas2: Bayesian Platform Design with Subgroup Efficacy Exploration(MIDAS-2)

The rapid screening of effective and optimal therapies from large numbers of candidate combinations, as well as exploring subgroup efficacy, remains challenging, which necessitates innovative, integrated, and efficient trial designs(Yuan, Y., et al. (2016) <doi:10.1002/sim.6971>). MIDAS-2 package enables quick and continuous screening of promising combination strategies and exploration of their subgroup effects within a unified platform design framework. We used a regression model to characterize the efficacy pattern in subgroups. Information borrowing was applied through Bayesian hierarchical model to improve trial efficiency considering the limited sample size in subgroups(Cunanan, K. M., et al. (2019) <doi:10.1177/1740774518812779>). MIDAS-2 provides an adaptive drug screening and subgroup exploring framework to accelerate immunotherapy development in an efficient, accurate, and integrated fashion(Wathen, J. K., & Thall, P. F. (2017) <doi:10.1177/1740774517692302>).

Authors:Su Liwen

midas2_1.1.0.tar.gz
midas2_1.1.0.zip(r-4.7-any)midas2_1.1.0.zip(r-4.6-any)
midas2_1.1.0.tar.gz(r-4.7-any)midas2_1.1.0.tar.gz(r-4.6-any)
midas2_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
midas2/json (API)

# Install 'midas2' in R:
install.packages('midas2', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.00 score 264 downloads 2 exports 23 dependencies

Last updated from:ba87c19661. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK147
linux-releaseOK93
windows-develOK64
windows-releaseOK62
wasm-releaseOK96

Exports:platform_midas2platform_midas2s

Dependencies:abindbootclicodagluelatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackquantregR2jagsR2WinBUGSrjagsrlangSparseMstringistringrsurvivalvctrs