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Releases: poldracklab/fitlins

0.11.0

17 Oct 18:50
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Release Notes

New feature release in the 0.11.x series.

This version bump reflects changes that appear mostly in PyBIDS, including improved handling of intercept columns and variables from tabular metadata files like participants.tsv.

Changes

Full Changelog: 0.10.1...0.11.0

0.10.1

30 Mar 15:30
ebeecde
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Release notes

Bug-fix release in the 0.10.x series.

Most of the fixes come in the upstream fixes of PyBIDS, which will get bundled in
the Docker image.

Changes

  • ENH: Set prog name to fitlins, regardless of which CLI program was called (#350)
  • MNT: Update bug_report.md (#337)
  • CI: Comprehensive testing (#344)
  • CI: Unify Docker deployment steps (#334)
  • Build(deps): Bump actions/cache from 2 to 3 (#347)
  • Build(deps): Bump actions/checkout from 2 to 3 (#343)
  • Build(deps): Bump actions/setup-python from 2 to 3 (#340)

Full Changelog: 0.10.0...0.10.1

0.10.0

01 Feb 15:00
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New feature release in the 0.10.x series.

This release implements support for BIDS Stats Models 1.0.0-rc1.
While we have attempted not to break old-style models, we no longer support them.

What's Changed

New Contributors

Full Changelog: 0.9.2...0.10.0

0.9.2

21 Jul 18:03
c17cd17
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Release Notes

Minor bugfix release in the 0.9.x series.

CHANGES

0.9.1

22 Apr 04:53
5bd6dba
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Release Notes

Bugfix release in the 0.9.x series. Upgrades pybids and nilearn to latest versions.

CHANGES

0.9.0

05 Mar 21:43
205bca0
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Release Notes

New feature release in the 0.9.x series.

CHANGES

This release added AFNI's 3dREMLfit for first-level estimation, dropped nistats in favor of nilearn.stats, added test reference outputs, among other minor improvements.

  • FIX: AFNI TSNR calculation, ADD: BlurToFWHM, ADD: testing outputs against reference (#280) *
  • FIX: AFNI contrast bool (#266)
  • ENH: Writeout estimator to derivative description (#278)
  • ENH: disable automatic drift modeling (#276)
  • ENH: modify path patterns to make task optional (#275)
  • ENH: Add AFNI 3dREMLfit for first-level estimation (#171)
  • TST: Add dummy dataset for pytest/local testing (#262)
  • MNT: Update PyBIDS and nilearn (#268)
  • CI: Make faster? (#264)

0.8.0

19 Oct 19:13
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Release Notes

New feature release in the 0.8.x series.

This release includes a change where events that are not explicitly convolved are modeled with boxcar functions instead of the nistats default.

CHANGES

  • FIX: Sparse matrix should be in long format, and HRF should be None by default (#259)

0.7.0

05 Aug 15:05
0.7.0
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Release Notes

New feature release in the 0.7.x series. This is an accumulation of changes over several months.

This release requires PyBIDS 0.12 and includes some quite provisional CIFTI-2 support as well as log-likelihood and R^2 maps for assessing goodness of fit.

CHANGES

  • FIX: Downgrade Sphinx to <3.0 (#226)
  • FIX: Validate BIDS datasets except when searching for models (#214)
  • FIX: Blacklist coverage >=5 (#209)
  • ENH: Bundle Conte69 surfaces (#249)
  • ENH: Add CIFTI-2 support (#239)
  • ENH: Add logL as model output (#230)
  • ENH: Save model level output (r-squared) (#224)
  • ENH: Add FEMA as key value to stat path_pattern (#220)
  • RF: Accept nipype configurations from users (#229)
  • MNT: Update requirements (#225)
  • MNT: Bump pybids to 0.10.2 (#216)
  • CI: Improve outputs (#218)

0.6.2

13 Dec 19:47
00d6788
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Release Notes

Hotfix release

CHANGES

  • FIX: FEMA input index should filter on rows, not columns. (#207) @adelavega

0.6.1

12 Dec 16:18
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Release Notes

Hotfix release.

CHANGES

  • FIX: Add desc=preproc as filter when finding preproc BOLD files (#204) @adelavega