Commit 9afc8a99 authored by Andrew Quinn's avatar Andrew Quinn

Some typos and grammar in JOSS paper

parent 60fa0d48
Pipeline #25273 passed with stage
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......@@ -26,7 +26,7 @@ bibliography: paper.bib
Autoregressive modelling provides a powerful and flexible parametric approach
to modelling uni- or multi-variate time-series data. AR models have
mathematical links to linear time-invariant systems, digital filters and Fourier
based frequency analysis. As such, a wide range of time-domain and
based frequency analyses. As such, a wide range of time-domain and
frequency-domain metrics can be readily derived from the fitted autoregressive
parameters. These approaches are fundamental in a wide range of science and
engineering fields and still undergoing active development. ``SAILS``
......@@ -86,8 +86,8 @@ features, their spatial distribution and network interactions.
# State of the field
Several Python packages related functionality to SAILS. Firstly, there are a
range of packages implementing multivariate regression fits (including
Several Python packages provide related functionality to SAILS. Firstly, there
are a range of packages implementing multivariate regression fits (including
[numpy.linalg](https://docs.scipy.org/doc/numpy/reference/routines.linalg.html#solving-equations-and-inverting-matrices)
and [statsmodels.tsa](https://www.statsmodels.org/stable/tsa.html)). SAILS is
readily extensible to work with model fits from other packages by creating a
......@@ -96,7 +96,7 @@ call the external package. Some spectral connectivity measures (based on
multi-taper or Wavelet transforms and not currently including MVAR based
measures such as Partial Directed Coherence) are implemented in
[MNE-python](https://mne.tools/stable/generated/mne.connectivity.spectral_connectivity.html),
a specialised electro-physiology analysis package. Other packages (such as
a specialised electrophysiology analysis package. Other packages (such as
[pyspectrum](https://pyspectrum.readthedocs.io)) provide autoregressive
spectrum estimation methods but are not readily extensible to multivariate
datasets or connectivity metrics. Finally, some packages implement varying
......@@ -145,7 +145,7 @@ All screenshots are based around material found in the online tutorials
![Example of plot using AIC to determine model order](aic.png)
![Example of a Partial Directed Coherence matrix plot](F_PDC.png)
![Example of a Partial Directed Coherence matrix plot](F_PDC.png)
![Example of plot showing the pole representation of the AR system](poleplot.png)
......
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