Package: midas2 0.1.0

midas2: An Information Borrowing Drug-Combination Bayesian Platform Design(MIDAS-2)

An Information borrowing drug-combination Bayesian platform design with subgroup exploration and hierarchical constrain.

Authors:Su Liwen

midas2_0.1.0.tar.gz
midas2_0.1.0.zip(r-4.7)midas2_0.1.0.zip(r-4.6)midas2_0.1.0.zip(r-4.5)
midas2_0.1.0.tgz(r-4.6-any)midas2_0.1.0.tgz(r-4.5-any)
midas2_0.1.0.tar.gz(r-4.7-any)midas2_0.1.0.tar.gz(r-4.6-any)
midas2_0.1.0.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://sullivan0147.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sullivan0147/midas2/issues

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:

jagscpp

2.70 score 201 downloads 1 exports 23 dependencies

Last updated from:aae8d4c55c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK146
linux-release-x86_64OK127
macos-release-arm64OK231
macos-oldrel-arm64OK190
windows-develOK92
windows-releaseOK113
windows-oldrelOK94
wasm-releaseOK111

Exports:hc_platform

Dependencies:abindbootclicodagluelatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackquantregR2jagsR2WinBUGSrjagsrlangSparseMstringistringrsurvivalvctrs