hmetad
0.1.2Fit the Meta-D' Model of Confidence Ratings Using 'brms'
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-175 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 69%
- Documented parameters
- 90%
- Return-value docs
- 96%
- References docs
- 0%
Downloads
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3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/metacoglab/hmetad on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.1.2Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.12026-04-21 · diff ↗
- 0.1.02026-03-16
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-16
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.2.0
- Download size
- 540 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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