[MNT] - Name update for new version

.github/workflows/build.yml

@@ -16,7 +16,7 @@ jobs:
     #   When ready to drop 3.6, can revert from 'ubuntu-20.04' -> 'ubuntu-latest'
     runs-on: ubuntu-20.04
     env:
-      MODULE_NAME: fooof
+      MODULE_NAME: specparam
     strategy:
       matrix:
         python-version: ["3.6", "3.7", "3.8", "3.9", "3.10", "3.11"]

CONTRIBUTING.md

@@ -1,6 +1,6 @@
 # Contributing Guidelines
 
-Thank you for your interest in contributing to `fooof`!
+Thank you for your interest in contributing to `specparam`!
 
 We welcome all contributions to the project that extend or improve code and/or documentation!
 
@@ -55,7 +55,7 @@ and see if there is anything you would be interested in helping with. If so, joi
 
 All contributions must be within the scope of the module.
 
-`fooof` is a module for parameterizing neural power spectra. This includes model fitting, management and analysis of resulting parameters, and utilities to visualize power spectra and model results. This module also includes functionality to simulate power spectra based on the model.
+`specparam` is a module for parameterizing neural power spectra. This includes model fitting, management and analysis of resulting parameters, and utilities to visualize power spectra and model results. This module also includes functionality to simulate power spectra based on the model.
 
 Procedures and utilities that do not deal with operating upon power spectra or on model outputs will most likely be considered out of scope. Notably, this model does not include doing spectral estimation or time-domain analysis. For approaches such as these, the [neurodsp](https://github.com/neurodsp-tools/neurodsp/) module may be a more appropriate target.
 
@@ -120,8 +120,8 @@ All code contributed to the module should follow these conventions:
         * If a new approach is added, a new tutorial or example may be appropriate
     * To build and check the documentation locally:
         * Install the requirements for the docsite (`pip install -r requirements-doc.txt`)
-        * Move to the `fooof/doc` directory (`cd doc`)
+        * Move to the `specparam/doc` directory (`cd doc`)
         * Run `make html` to create a local copy of the documentation website
-        * The documentation can then be opened in a web browser by opening the file `fooof/doc/_build/html/index.html`
+        * The documentation can then be opened in a web browser by opening the file `specparam/doc/_build/html/index.html`
 
 For more guidelines on how to write well formated and organized code, check out the [Python API Checklist](http://python.apichecklist.com).

Makefile

@@ -20,7 +20,7 @@
 ##########################################################################
 ## VARIABLES
 
-MODULE      = fooof
+MODULE      = specparam
 LINT_FILE   = _lint.txt
 
 ##########################################################################

README.rst

@@ -1,6 +1,6 @@
-=========================================
-FOOOF - fitting oscillations & one over f
-=========================================
+=========================
+Spectral Parameterization
+=========================
 
 |ProjectStatus|_ |Version|_ |BuildStatus|_ |Coverage|_ |License|_ |PythonVersions|_ |Paper|_
 
@@ -26,7 +26,7 @@ FOOOF - fitting oscillations & one over f
 .. _Paper: https://doi.org/10.1038/s41593-020-00744-x
 
 
-FOOOF is a fast, efficient, and physiologically-informed tool to parameterize neural power spectra.
+Spectral parameterization is a fast, efficient, and physiologically-informed tool to parameterize neural power spectra.
 
 Overview
 --------
@@ -71,7 +71,7 @@ This documentation includes:
 Dependencies
 ------------
 
-FOOOF is written in Python, and requires Python >= 3.6 to run.
+SpecParam is written in Python, and requires Python >= 3.6 to run.
 
 It has the following required dependencies:
 
@@ -82,7 +82,7 @@ There are also optional dependencies, which are not required for model fitting i
 
 - `matplotlib <https://github.com/matplotlib/matplotlib>`_ is needed to visualize data and model fits
 - `tqdm <https://github.com/tqdm/tqdm>`_ is needed to print progress bars when fitting many models
-- `pandas <https://github.com/pandas-dev/pandas>`_ is needed to for exporting model fit results to dataframes
+- `pandas <https://github.com/pandas-dev/pandas>`_ is needed for exporting model fit results to dataframes
 - `pytest <https://github.com/pytest-dev/pytest>`_ is needed to run the test suite locally
 
 We recommend using the `Anaconda <https://www.anaconda.com/distribution/>`_ distribution to manage these requirements.
@@ -133,22 +133,21 @@ To install an editable version, download the development version as above, and r
 Other Language Support
 ----------------------
 
-The original implementation of FOOOF, available in this repository, is implemented in Python.
+The original implementation of `specparam`, available in this repository, is implemented in Python.
 
-If you wish to run FOOOF from another language, there are a couple potential options:
+If you wish to run specparam from another language, there are a couple potential options:
 
 - a `wrapper`, which allows for running the Python code from another language
-- a `reimplementation`, which reflects a new implementation of the fooof algorithm in another language
+- a `reimplementation`, which reflects a new implementation of the specparam algorithm in another language
 
 Below are listed some examples of wrappers and/or reimplementations in other languages (non-exhaustive).
 
 Matlab
 ~~~~~~
 
 In Matlab, there is a reimplementation available in common toolboxes:
-
-- The `Brainstorm <https://neuroimage.usc.edu/brainstorm/Introduction>`_ toolbox has a reimplementation of fooof (see the `Brainstorm fooof tutorial <https://neuroimage.usc.edu/brainstorm/Tutorials/Fooof>`_)
-- The `Fieldtrip <https://www.fieldtriptoolbox.org/>`_ also uses the same reimplementation (see the `Fieldtrip fooof tutorial <https://www.fieldtriptoolbox.org/example/fooof/>`_)
+- The `Brainstorm <https://neuroimage.usc.edu/brainstorm/Introduction>`_ toolbox has a reimplementation of specparam (see the `Brainstorm fooof tutorial <https://neuroimage.usc.edu/brainstorm/Tutorials/Fooof>`_)
+- The `Fieldtrip <https://www.fieldtriptoolbox.org/>`_ toolbox also uses the same reimplementation (see the `Fieldtrip fooof tutorial <https://www.fieldtriptoolbox.org/example/fooof/>`_)
 
 There is also a Matlab wrapper in the `fooof_mat <http://github.com/fooof-tools/fooof_mat>`_ repository.
 
@@ -209,27 +208,27 @@ The algorithm works on frequency representations, that is power spectra in linea
 **Fitting a Single Power Spectrum**
 
 With a power spectrum loaded (with 'freqs' storing frequency values, and 'spectrum' storing
-the power spectrum, both as 1D arrays in linear space) FOOOF can be used as follows:
+the power spectrum, both as 1D arrays in linear space) parameterization can be done as follows:
 
 .. code-block:: python
 
-    # Import the FOOOF object
-    from fooof import FOOOF
+    # Import the model object
+    from specparam import SpectralModel
 
-    # Initialize FOOOF object
-    fm = FOOOF()
+    # Initialize model object
+    fm = SpectralModel()
 
     # Define frequency range across which to model the spectrum
     freq_range = [3, 40]
 
-    # Model the power spectrum with FOOOF, and print out a report
+    # Parameterize the power spectrum, and print out a report
     fm.report(freqs, spectrum, freq_range)
 
-FOOOF.report() fits the model, plots the original power spectrum with the associated FOOOF model fit,
+SpectralModel.report() fits the model, plots the original power spectrum with the associated model fit,
 and prints out the parameters of the model fit for both the aperiodic component, and parameters for
 any identified peaks, reflecting periodic components.
 
-Example output for the report of a FOOOF fit on an individual power spectrum:
+Example output for the report of a parameterized fit on an individual power spectrum:
 
 .. image:: https://raw.githubusercontent.com/fooof-tools/fooof/main/doc/img/FOOOF_report.png
 
@@ -247,9 +246,9 @@ These settings can be defined when initializing the model, for example:
 
 .. code-block:: python
 
-    # Initialize a FOOOF model object with defined settings
-    fm = FOOOF(peak_width_limits=[1.0, 8.0], max_n_peaks=6, min_peak_height=0.1,
-               peak_threshold=2.0, aperiodic_mode='fixed')
+    # Initialize a model object with defined settings
+    fm = SpectralModel(peak_width_limits=[1.0, 8.0], max_n_peaks=6, min_peak_height=0.1,
+                       peak_threshold=2.0, aperiodic_mode='fixed')
 
 **Fitting a Group of Power Spectra**
 
@@ -259,19 +258,19 @@ We can fit the group of power spectra by doing:
 
 .. code-block:: python
 
-    # Initialize a FOOOFGroup object, specifying some parameters
-    fg = FOOOFGroup(peak_width_limits=[1.0, 8.0], max_n_peaks=8)
+    # Initialize a SpectralGroupModel object, specifying some parameters
+    fg = SpectralGroupModel(peak_width_limits=[1.0, 8.0], max_n_peaks=8)
 
-    # Fit FOOOF model across the matrix of power spectra
+    # Fit models across the matrix of power spectra
     fg.fit(freqs, spectra)
 
     # Create and save out a report summarizing the results across the group of power spectra
     fg.save_report()
 
-    # Save out FOOOF results for further analysis later
-    fg.save(file_name='fooof_group_results', save_results=True)
+    # Save out results for further analysis later
+    fg.save(file_name='group_results', save_results=True)
 
-Example output from using FOOOFGroup across a group of power spectra:
+Example output from using SpectralGroupModel across a group of power spectra:
 
 .. image:: https://raw.githubusercontent.com/fooof-tools/fooof/main/doc/img/FOOOFGroup_report.png
 

data/README.txt

@@ -1,4 +1,4 @@
 Data
 ====
 
-Example data files for the FOOOF module.
+Example data files for the module.

doc/Makefile

@@ -7,7 +7,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = sphinx-build
-SPHINXPROJ    = fooof
+SPHINXPROJ    = specparam
 SOURCEDIR     = .
 BUILDDIR      = _build
 
@@ -44,7 +44,7 @@ check:
 	make SPHINXOPTS="-n" html
 	make linkcheck
 
-# Create the plots used in the FOOOF documentation
+# Create the plots used in the documentation
 plots:
 	python make_doc_plots.py