Releases: neurostuff/NiMARE
0.5.0rc1
0.4.2
What's Changed
🎉 Exciting New Features
- Add example describing the structure of the JSON/dict input format for Dataset object by @JulioAPeraza in #911
- [ENH] convert sample sizes by @jdkent in #919
🐛 Bug Fixes
- [FIX] read annotation into NIMADs by @jdkent in #914
- [FIX] fix the compilation of the description on pypi by @jdkent in #915
- [FIX] name of distribution conform to PEP 625 by @jdkent in #916
- [FIX] fix name of nimare to be pep 625 compliant by @jdkent in #917
Other Changes
Full Changelog: 0.4.1...0.4.2
0.4.2rc4
0.4.2rc3
0.4.2rc2
0.4.2rc1
What's Changed
🎉 Exciting New Features
- Add example describing the structure of the JSON/dict input format for Dataset object by @JulioAPeraza in #911
Other Changes
Full Changelog: 0.4.1...0.4.2rc1
0.4.1
What's Changed
Some maintenance to fix CodeCov and ReadTheDocs build, and fix a bug where the MKDAChi2 class initialized the kernel, not allowing users to pass arguments to the kernel upon initialization. see number #906
Other Changes
- [MAINT] change m2r to m2r2 by @jdkent in #909
- [MAINT] bump codecov version by @jdkent in #908
- [FIX] do not initialize kernel object by @jdkent in #907
Full Changelog: 0.4.0...0.4.1
0.4.1rc1
0.4.0
This version adds a new fixed effects meta-analytic algorithm, Hedge's g, where one can estimate effect size.
Also several semi-critical bug fixes for accurately reporting the z-values in the Stouffer's test.
What's Changed
🎉 Exciting New Features
- [ENH] Add Fixed Effects Meta-Analysis with Hedges’ g by @JulioAPeraza in #894
- [ENH] Add t-statistic images as valid targets in ImageTransformer by @JulioAPeraza in #895
🐛 Bug Fixes
- [FIX] bump pymare for rounding issue by @jdkent in #897
- [FIX] Add support for IBMA estimators with t-statistic images in Reports by @JulioAPeraza in #896
- [FIX] Fix the correlation matrix computation in Stouffers and Reports by @JulioAPeraza in #901
- [FIX] bump pymare version to fix z values by @jdkent in #904
Other Changes
- [REF] Compute correlation matrix in signal voxels by @JulioAPeraza in #889
- [REF] optimize
get_studies_by_mask
by @jdkent in #891 - [MAINT] hyphen no longer supported by @jdkent in #899
- [MAINT] run benchmarking on estimators by @jdkent in #900
- [MAINT] update workflow and fix example by @jdkent in #905
Full Changelog: 0.3.0...0.4.0rc1
0.4.0rc1
This version adds a new fixed effects meta-analytic algorithm, Hedge's g, where one can estimate effect size.
Also several semi-critical bug fixes for accurately reporting the z-values in the Stouffer's test.
What's Changed
🎉 Exciting New Features
- Add Fixed Effects Meta-Analysis with Hedges’ g by @JulioAPeraza in #894
- Add t-statistic images as valid targets in ImageTransformer by @JulioAPeraza in #895
🐛 Bug Fixes
- [FIX] bump pymare for rounding issue by @jdkent in #897
- [FIX] Add support for IBMA estimators with t-statistic images in Reports by @JulioAPeraza in #896
- [FIX] Fix the correlation matrix computation in Stouffers and Reports by @JulioAPeraza in #901
- [FIX] bump pymare version to fix z values by @jdkent in #904
Other Changes
- [REF] Compute correlation matrix in signal voxels by @JulioAPeraza in #889
- [REF] optimize
get_studies_by_mask
by @jdkent in #891 - [MAINT] hyphen no longer supported by @jdkent in #899
- [MAINT] run benchmarking on estimators by @jdkent in #900
- [MAINT] update workflow and fix example by @jdkent in #905
Full Changelog: 0.3.0...0.4.0rc1