Miguel comments

.github/workflows/autoformat.yml

@@ -26,7 +26,18 @@ jobs:
 
       - name: Sort imports with isort
         run: isort .
-
+
+      - name: Sync version into CITATION.cff
+        run: |
+          python - <<'EOF'
+          import pathlib, re, tomllib
+          version = tomllib.load(open("pyproject.toml", "rb"))["project"]["version"]
+          cff = pathlib.Path("CITATION.cff")
+          text = re.sub(r"^version:.*$", f"version: {version}", cff.read_text(), flags=re.M)
+          cff.write_text(text)
+          print(f"Synced CITATION.cff to version {version}")
+          EOF
+
       - name: Commit changes
         run: |
           git config --local user.email "github-actions[bot]@users.noreply.github.com"

CITATION.cff

@@ -0,0 +1,24 @@
+cff-version: 1.2.0
+message: "If you use this software, please cite it using the following metadata."
+authors:
+  - family-name: O'Dea
+    given-name: Ryan
+    affiliation: CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health
+    orcid: https://orcid.org/0009-0000-0103-9546
+  - family-name: Palmer
+    given-name: Tom
+    affiliation: "MRC Integrative Epidemiology Unit and Population Health Sciences, University of Bristol"
+    orcid: https://orcid.org/0000-0003-4655-4511
+  - family-name: Szmulewicz
+    given-name: Alejandro
+    affiliation: "CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health; McLean Hospital; Department of Psychiatry, Harvard Medical School"
+    orcid: https://orcid.org/0000-0002-2664-802X
+  - family-name: Hernán
+    given-name: Miguel A.
+    affiliation: "CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health; Department of Biostatistics, Harvard T.H. Chan School of Public Health"
+    orcid: https://orcid.org/0000-0003-1619-8456
+title: "pySEQTarget: Sequential Target Trial Emulation"
+version: 0.14.0
+url: https://pyseqtarget.readthedocs.io/
+repository-code: https://github.com/CausalInference/pySEQTarget
+repository-artifact: https://pypi.org/project/pySEQTarget/

README.md

@@ -1,4 +1,4 @@
-# pySEQTarget - Sequentially Nested Target Trial Emulation
+# pySEQTarget - Sequential Target Trial Emulation
 [![PyPI version](https://badge.fury.io/py/pySEQTarget.svg)](https://pypi.org/project/pySEQTarget) 
 [![Downloads](https://static.pepy.tech/badge/pySEQTarget)](https://pepy.tech/project/pySEQTarget)
 [![codecov](https://codecov.io/gh/CausalInference/pySEQTarget/graph/badge.svg?token=DMOVJJUWXP)](https://codecov.io/gh/CausalInference/pySEQTarget)[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)

pySEQTarget/SEQuential.py

@@ -30,7 +30,7 @@
 
 class SEQuential:
     """
-    Primary class initializer for SEQuentially nested target trial emulation
+    Primary class initializer for SEQuential target trial emulation
 
     :param data: Data for analysis
     :param id_col: Column name for unique patient IDs
@@ -126,7 +126,7 @@ def __getstate__(self):
 
     def expand(self):
         """
-        Creates the sequentially nested, emulated target trial structure.
+        Creates the sequential, emulated target trial structure.
         If ``expand_only`` is set in parameters, returns the expanded dataset as a
         :class:`polars.DataFrame` and skips all subsequent analysis steps.
         """

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "pySEQTarget"
 version = "0.14.0"
-description = "Sequentially Nested Target Trial Emulation"
+description = "Sequential Target Trial Emulation"
 readme = "README.md"
 license = {text = "MIT"}
 keywords = ["causal inference", "sequential trial emulation", "target trial", "observational studies"]
@@ -23,8 +23,8 @@ classifiers = [
 
 authors = [
     {name = "Ryan O'Dea", email = "ryan.odea@psi.ch"},
-    {name = "Alejandro Szmulewicz", email = "aszmulewicz@hsph.harvard.edu"},
     {name = "Tom Palmer", email = "remlapmot@hotmail.com"},
+    {name = "Alejandro Szmulewicz", email = "aszmulewicz@hsph.harvard.edu"},
     {name = "Miguel Hernán", email = "mhernan@hsph.harvard.edu"},
 ]