v0.8.0

Far too many changes to list individually. See the website's changelog for full details!

Full Changelog: v0.7.0...v0.8.0

v0.7.0

Import, processing, visualization and analysis of electroencephalographic data.

The latest version includes improvements to handling of group data, additional methods for time-frequency analysis, basic support for plotting difference waves, and numerous bugfixes.

v0.6.3

A new update to fix a major bug with erp_image, as well as some additional minor code cleanups

v0.6.2 improved EEGLAB support

Improved support for new 2021 EEGLAB file formats.

Bugfix release

Some fixes to compute_tfr code to work better with evoked objects, contours added for geom_topo, and bug with eeg_group from eeg_evoked fixed

v0.6.0

Major update! Highlights include:

• reworking of underling topoplot code
• addition of linear modelling and eeg_lm class
• Shiny viewers added for artefact checking and inspection of ICA decompositions
  See https://craddm.github.io/eegUtils/news/index.html for more details!

eegUtils v0.5.0

Key updates include faster reading of BDF files and better support for combining data across updates. See https://craddm.github.io/eegUtils/news/index.html for full details!

eegUtils v0.4.0

eegUtils is a package for the processing, manipulation, and plotting of EEG data. It includes functions for importing data from a variety of file formats (including Biosemi, Brain Vision Analyzer, and EEGLAB), many of the typical steps in pre-preprocessing (filtering, referencing, artefact rejection), more advanced processing techniques (time-frequency analysis, ICA), and many types of plot that are common in the field (ERP plots, time-frequency plots, topographical scalp maps). Although it uses custom object classes, it is designed such that these are always translatable to standard R data.frames, and thus can be used with any of the myriad packages and methods that support standard R formats

eegUtils v0.3.0

eegUtils v0.3.0 now has functions for plotting and computing power spectral densities and time-frequency decompositions using Morlet wavelets. There have been several internal changes to improve functionality, speed, and memory efficiency.

eegUtils v0.2.1

Primarily a bugfix release, see news.md