Releases: neurostuff/NiMARE
Releases · neurostuff/NiMARE
0.6.2
What's Changed
When you use sample size for ALE, we are much clearer with our error message about which studies are missing the necessary metadata.
We also now allow for a transformless conversion between sleuth file to NiMARE dataset. Before, all the coordinates were always converted into a single space. This also adds error handling around trying to use a mixed space dataset with a CBMA algorithm.
🐛 Bug Fixes
- [FIX] sample size handling by @jdkent in #951
- FIX: Sleuth to NiMADS by @adelavega in #949
Other Changes
Full Changelog: 0.6.0...0.6.2
0.6.2rc1
0.6.1
What's Changed
🎉 Exciting New Features
🐛 Bug Fixes
- [FIX] sample_size tests by @jdkent in #941
- [FIX] use display_ids for plotting, but nimads ids for dataset creation by @jdkent in #947
Other Changes
- [MNT] drop python 3.8; support 3.13 by @jdkent in #945
- [MAINT] bump to nilearn >= 0.12.1 by @Remi-Gau in #944
New Contributors
Full Changelog: 0.5.5...0.6.1
0.6.0rc1
What's Changed
🎉 Exciting New Features
🐛 Bug Fixes
- [FIX] sample_size tests by @jdkent in #941
- [FIX] use display_ids for plotting, but nimads ids for dataset creation by @jdkent in #947
Other Changes
- [MAINT] drop python 3.8; support 3.13 by @jdkent in #945
- [MAINT] bump to nilearn >= 0.12.1 by @Remi-Gau in #944
New Contributors
Full Changelog: 0.5.5...0.6.0