0.0.11
This release continues fixes and improvements we've made for the NiMARE manuscript. Additionally, we are starting to dramatically refactor how NiMARE stores meta-analytic data, with the end goals of (1) synchronizing NiMARE data storage with the NIMADS standard, (2) internally representing data and results in a manner that is compatible with NeuroStore, and (3) implementing a meta-analysis model specification that can be employed with both NiMARE and Neurosynth 2.0.
What's Changed
🛠 Breaking Changes
- Replace Nilearn templates with ones stored in resources folder and unset maximum Nilearn version by @tsalo in #621
- Implement cluster mass-based cluster-level Monte Carlo correction for CBMA algorithms by @tsalo in #609
- Use scikit-learn for LDAModel by @tsalo in #607
🎉 Exciting New Features
👎 Deprecations
🐛 Bug Fixes
- Only download group maps when creating dataset and raise error if no images are found for a contrast by @jdkent in #580
- Force maskers to be array images instead of proxy images by @tsalo in #588
Other Changes
- Add test steps and explicit support for Python 3.9 by @JulioAPeraza in #578
- Add major classes/functions to parent namespaces by @tsalo in #600
- Make non-user-facing utility functions semi-private and improve docs by @tsalo in #604
- Move files used by examples from tests to resources by @tsalo in #605
- Improve documentation of CBMA and add methods pages by @tsalo in #610
- Use tmpdir for memmap files instead of the NiMARE data directory by @tsalo in #599
Full Changelog: 0.0.10...0.0.11