Tags: poldracklab/fitlins
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0.11.0 (October 17, 2022) 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`. * FIX: Handle correct contrasts and intercepts being passed from PyBIDS (#387) * RF: Fitlins output reorganization (#355) * DOC: Link out to BIDS Stats Models docs instead of maintaining our own (#378) * DOC: Adding a section on estimators (#375) * DOC: add github source links (#376) * MNT: Remove unused packages from docker image (#353) * MNT: Use latest coverage (#354) * CI: Add a build to test with unreleased pybids (#386)
0.10.1 (March 29, 2022) 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. * 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)
0.10.0 (February 01, 2022) 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. * RF: Use the new bids stats model (#298) * FIX: minor typo; missed restyling in afni.py (#328) * FIX: Minor fixes (#326) * FIX: version info & detail activating venv on different OS (#311) * ENH: Migrate CircleCI to github actions (#329) * STY: Reformat to black, address flake8 issues (#316) * MNT: Temporarily pull pybids from github maintenance branch (#308) * CI: Update ds003 tests (#331) * CI: Check for secrets before deploying, switch to python-build (#332)
0.9.0 (February 26, 2021)
New feature release in the 0.9.x series.
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.
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 (October 19, 2020) 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. * FIX: Sparse matrix should be in long format, and HRF should be None by default (#259)
0.7.0 (August 05, 2020) 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. * 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)
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