Merge pull request #277 from poldracklab/REL/0.8.1

REL: 0.9.0
poldracklab · Mar 5, 2021 · 205bca0 · 205bca0
2 parents abcdf6b + 0cfb456
commit 205bca0
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diff --git 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
@@ -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
@@ -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: