hmetad
Fit the Meta-D' Model of Confidence Ratings Using 'brms'
Implementation of Bayesian regressions over the meta-d' model of psychological data from two alternative forced choice tasks with ordinal confidence ratings. For more information, see Maniscalco & Lau (2012) <doi:10.1016/j.concog.2011.09.021>. The package is a front-end to the 'brms' package, which facilitates a wide range of regression designs, as well as tools for efficiently extracting posterior estimates, plotting, and significance testing.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | hmetad_0.1.1.tar.gz |
1.0 MiB |
0.1.1 |
rolling linux/jammy R-4.5 | hmetad_0.1.1.tar.gz |
2.2 MiB |
0.1.1 |
rolling linux/noble R-4.5 | hmetad_0.1.1.tar.gz |
2.2 MiB |
0.1.1 |
latest source/ R- | hmetad_0.1.1.tar.gz |
1.0 MiB |
0.1.1 |
latest linux/jammy R-4.5 | hmetad_0.1.1.tar.gz |
2.2 MiB |
0.1.1 |
latest linux/noble R-4.5 | hmetad_0.1.1.tar.gz |
2.2 MiB |
0.1.1 |
2026-04-23 source/ R- | hmetad_0.1.1.tar.gz |
1.0 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | hmetad_0.1.0.zip |
2.2 MiB |