Changelog

Source: NEWS.md

neurogam 0.0.3

New features

• Implementing the recommend_k() function, running model comparison with varying basis dimension (k).
• Implementing a ppc() method for cluster_results objects.
• New plot_sensors() and plot_eeg() functions to visualise EEG sensors grid, EEG raw data, and GAM predictions.
• Adding support for returning participant-level onsets in testing_through_time(), find_clusters(), and related methods such as summary() and plot().

Other changes

• Improved documentation for print() and summary() methods.
• Removed the multilevel = "full" option (too slow).
• Now returns clusters with both positive and negative signs in find_clusters().

Bug fixes

• Fixing aberrant PPCs in the ppc() method (and simplifying arguments with ppc_type = c("group", "participant")).

neurogam 0.0.2

New features

• Allowing 3 different models to be fitted: full GAMM, GAMM with summary statistics (recommended), or group-level GAM.
• Adding further support for presence or absence of predictor (e.g., group, condition). When predictor_id = NA, neurogam now tests signal against 0 through time.
• Implementing print() and summary() methods for cluster_results objects.
• Improved plotting: now plotting the GAM predictions with raw data and improved clusters aesthetics.

Other changes

• Improved functions documentation and new package website.
• Factoring posterior odds computation within internal functions.

Bug fixes

• Fixing group-level posterior predictions when multilevel is “full” or “summary”.

neurogam 0.0.1

• Pushing the first version of neurogam.