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.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
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 - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • 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 260 downloads 2 exports 23 dependencies

Last updated from:ba87c19661. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK168
linux-release-x86_64OK112
wasm-releaseOK94

Exports:platform_midas2platform_midas2s

Dependencies:abindbootclicodagluelatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackquantregR2jagsR2WinBUGSrjagsrlangSparseMstringistringrsurvivalvctrs