Package: MABOUST 1.0.1

Andrew Chapple

MABOUST: Multi-Armed Bayesian Ordinal Utility-Based Sequential Trial

Conducts and simulates the MABOUST design, including making interim decisions to stop a treatment for inferiority or stop the trial early for superiority or equivalency.

Authors:Andrew Chapple

MABOUST_1.0.1.tar.gz
MABOUST_1.0.1.tar.gz(r-4.7-arm64)MABOUST_1.0.1.tar.gz(r-4.7-x86_64)MABOUST_1.0.1.tar.gz(r-4.6-arm64)MABOUST_1.0.1.tar.gz(r-4.6-x86_64)
MABOUST_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MABOUST/json (API)

# Install 'MABOUST' in R:
install.packages('MABOUST', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

1.00 score 47 downloads 6 exports 2 dependencies

Last updated from:df1a73028e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK115
source / vignettesOK202
linux-release-arm64OK126
linux-release-x86_64OK102
wasm-releaseOK114

Exports:CUTOFFGetProbsGetScenarioMABOUSTMCMC_MABOUSTSimMABOUST

Dependencies:RcppRcppArmadillo