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-4.5-noble)MABOUST_1.0.1.tar.gz(r-4.4-noble)
MABOUST_1.0.1.tgz(r-4.4-emscripten)MABOUST_1.0.1.tgz(r-4.3-emscripten)
MABOUST.pdf |MABOUST.html✨
MABOUST/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

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

6 exports 0.00 score 2 dependencies 114 downloads

Last updated 4 years agofrom:df1a73028e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-linux-x86_64OKAug 21 2024

Exports:CUTOFFGetProbsGetScenarioMABOUSTMCMC_MABOUSTSimMABOUST

Dependencies:RcppRcppArmadillo