Crandore Hub

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>.

Versions across snapshots

VersionRepositoryFileSize
12.0 rolling linux/jammy R-4.5 OBsMD_12.0.tar.gz 150.8 KiB
12.0 rolling linux/noble R-4.5 OBsMD_12.0.tar.gz 150.2 KiB
12.0 rolling source/ R- OBsMD_12.0.tar.gz 54.9 KiB
12.0 latest linux/jammy R-4.5 OBsMD_12.0.tar.gz 150.8 KiB
12.0 latest linux/noble R-4.5 OBsMD_12.0.tar.gz 150.2 KiB
12.0 latest source/ R- OBsMD_12.0.tar.gz 54.9 KiB
12.0 2026-04-26 source/ R- OBsMD_12.0.tar.gz 54.9 KiB
12.0 2026-04-23 source/ R- OBsMD_12.0.tar.gz 54.9 KiB
12.0 2026-04-09 windows/windows R-4.5 OBsMD_12.0.zip 163.5 KiB
12.0 2025-04-20 source/ R- OBsMD_12.0.tar.gz 54.9 KiB