Package index • neurogam

All functions

check_residual_autocorrelation(): Check residual autocorrelation for brms models
eeg_data: Simulated EEG data
find_clusters(): Find contiguous clusters in a time series
make_bgam_formula(): Build a brms formula for time-resolved BGAMMs
plot(<clusters_results_1d>): Plot time-resolved GAM results (1D clusters)
plot(<clusters_results_2d>): Plot time-generalisation GAM results (2D clusters)
plot_eeg(): Plot spatio-temporal EEG data as topographies or 2D surfaces
plot_sensors(): Plot EEG sensor positions on a 2D scalp
ppc(): Posterior predictive checks
print(<clusters_results_1d>): Print method for 1D clusters_results objects
print(<recommend_k_results>): Print method for recommend_k_results objects
recommend_k(): Recommend a smooth basis dimension k via effective complexity "knee" detection
st_take_n_times(): Select approximately equally spaced times
summary(<clusters_results_1d>): Summary method for 1D clusters_results objects
summary(<clusters_results_2d>): Summary method for 2D clusters_results objects
summary(<recommend_k_results>): Summary method for recommend_k_results objects
testing_through_time(): Time-resolved testing based on BGAMMs
timegen_data: Time-generalisation decoding example dataset