Package: OBsMD 12.0

Marta Nai Ruscone

OBsMD: Objective Bayesian Model Discrimination in Follow-Up Designs

Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.

Authors:Marta Nai Ruscone [aut, cre], Laura Deldossi [aut], Cleve Moler [ctb], Jack Dongarra [ctb]

OBsMD_12.0.tar.gz
OBsMD_12.0.tar.gz(r-4.5-noble)OBsMD_12.0.tar.gz(r-4.4-noble)
OBsMD_12.0.tgz(r-4.4-emscripten)OBsMD_12.0.tgz(r-4.3-emscripten)
OBsMD.pdf |OBsMD.html
OBsMD/json (API)

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

Peer review:

Datasets:

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

1.82 score 33 scripts 341 downloads 3 exports 0 dependencies

Last updated 3 months agofrom:6a588c5f0d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024

Exports:combinationsOBsProbOMD

Dependencies: