diff --git a/.zenodo.json b/.zenodo.json index adbfd933..e52b45f4 100644 --- a/.zenodo.json +++ b/.zenodo.json @@ -40,6 +40,16 @@ "name": "Nielson, Dylan M.", "orcid": "0000-0003-4613-6643" }, + { + "affiliation": "University of Texas at Austin", + "name": "Kent, James D.", + "orcid": "0000-0002-4892-2659" + }, + { + "affiliation": "National Institute of Mental Health", + "name": "Lee, John A.", + "orcid": "0000-0001-5884-4247" + }, { "name": "Poldrack, Russell A.", "affiliation": "Department of Psychology, Stanford University", diff --git a/CHANGES.md b/CHANGES.md index 59a15990..bdd771ce 100644 --- a/CHANGES.md +++ b/CHANGES.md @@ -1,3 +1,22 @@ +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 (https://github.com/poldracklab/fitlins/pull/280) +* FIX: AFNI contrast bool (https://github.com/poldracklab/fitlins/pull/266) +* ENH: Writeout estimator to derivative description (https://github.com/poldracklab/fitlins/pull/278) +* ENH: disable automatic drift modeling (https://github.com/poldracklab/fitlins/pull/276) +* ENH: modify path patterns to make task optional (https://github.com/poldracklab/fitlins/pull/275) +* ENH: Add AFNI 3dREMLfit for first-level estimation (https://github.com/poldracklab/fitlins/pull/171) +* TST: Add dummy dataset for pytest/local testing (https://github.com/poldracklab/fitlins/pull/262) +* MNT: Update PyBIDS and nilearn (https://github.com/poldracklab/fitlins/pull/268) +* CI: Make faster? (https://github.com/poldracklab/fitlins/pull/264) + + 0.8.0 (October 19, 2020) ======================== diff --git a/fitlins/tests/test_outputs.py b/fitlins/tests/test_outputs.py index 232b209f..1b116eee 100644 --- a/fitlins/tests/test_outputs.py +++ b/fitlins/tests/test_outputs.py @@ -98,7 +98,8 @@ def test_outputs(fitlins_path, bids_dir, output_dir, derivatives, "--estimator", estimator, "--smoothing", smoothing, "--n-cpus", '2', - "--mem-gb", '4' + "--mem-gb", '4', + "--drift-model", "cosine" ] if database_path is not None: