Index A | B | C | D | E | F | G | H | L | M | O | P | R | S | T | U | W | X A Arbitrary (class in hmp.patterns) available_sources() (in module hmp.simulations) B BaseTransformer (class in hmp.transformers.base) C centered_activity() (in module hmp.utils) classification_true() (in module hmp.simulations) common_preprocess() (hmp.transformers.base.BaseTransformer method), [1] compute_covariance() (hmp.transformers.base.BaseTransformer static method) compute_csd() (in module hmp.utils) condition_selection() (in module hmp.utils) condition_selection_epoch() (in module hmp.utils) create_expected() (hmp.patterns.Arbitrary class method) (hmp.patterns.HalfSine class method) cross_corr (hmp.trialdata.TrialData attribute), [1] cross_correlation() (in module hmp.trialdata) CumulativeMethod (class in hmp.models.cumulative) D data_format() (hmp.transformers.base.BaseTransformer method), [1] demo() (in module hmp.simulations) distribution_pdf() (hmp.models.event.EventModel method) durations (hmp.trialdata.TrialData attribute), [1] E EliminativeMethod (class in hmp.models.eliminative) EM() (hmp.models.event.EventModel method) ends (hmp.trialdata.TrialData attribute), [1] erp_data() (in module hmp.visu) estim_probs() (hmp.models.event.EventModel method) event_channels() (in module hmp.utils) event_shape() (in module hmp.simulations) event_times() (in module hmp.utils) EventModel (class in hmp.models.event) F fit() (hmp.models.cumulative.CumulativeMethod method) (hmp.models.eliminative.EliminativeMethod method) (hmp.models.event.EventModel method) from_transformer() (hmp.trialdata.TrialData class method) G Gamma (class in hmp.distributions) gen_random_stages() (hmp.models.event.EventModel method) get_channel_time_parameters_expectation() (hmp.models.event.EventModel method) get_event_model() (hmp.models.eliminative.EliminativeMethod method) group_constructor() (hmp.models.event.EventModel method) H HalfSine (class in hmp.patterns) hmp.distributions module hmp.io module hmp.models.cumulative module hmp.models.eliminative module hmp.models.event module hmp.patterns module hmp.simulations module hmp.transformers.base module hmp.transformers.custom module hmp.transformers.identity module hmp.transformers.pca module hmp.trialdata module hmp.utils module hmp.visu module hmp_data_format() (in module hmp.io) L location (hmp.patterns.Arbitrary attribute), [1] (hmp.patterns.HalfSine attribute), [1] Lognormal (class in hmp.distributions) M mean_to_scale() (hmp.distributions.Gamma method), [1] (hmp.distributions.Lognormal method), [1] (hmp.distributions.Wald method), [1] (hmp.distributions.Weibull method), [1] module hmp.distributions hmp.io hmp.models.cumulative hmp.models.eliminative hmp.models.event hmp.patterns hmp.simulations hmp.transformers.base hmp.transformers.custom hmp.transformers.identity hmp.transformers.pca hmp.trialdata hmp.utils hmp.visu O offset (hmp.trialdata.TrialData attribute), [1] P participant_selection() (in module hmp.utils) pattern (hmp.trialdata.TrialData attribute), [1] pdf (hmp.distributions.Gamma attribute) (hmp.distributions.Lognormal attribute) (hmp.distributions.Wald attribute) (hmp.distributions.Weibull attribute) plot_components_sensor() (in module hmp.visu) plot_erp() (in module hmp.visu) plot_latencies() (in module hmp.visu) plot_loocv() (in module hmp.visu) plot_topo_timecourse() (in module hmp.visu) positions() (in module hmp.simulations) ProjCustom (class in hmp.transformers.custom) ProjIdentity (class in hmp.transformers.identity) ProjPCA (class in hmp.transformers.pca) R read_mne_data() (in module hmp.io) read_raw_and_epoch() (in module hmp.io) reject_crop_epochs() (hmp.transformers.base.BaseTransformer method), [1] S save_eventprobs_csv() (in module hmp.io) scale_parameters() (hmp.models.event.EventModel method) scale_to_mean() (hmp.distributions.Gamma method), [1] (hmp.distributions.Lognormal method), [1] (hmp.distributions.Wald method), [1] (hmp.distributions.Weibull method), [1] sfreq (hmp.patterns.Arbitrary attribute), [1] (hmp.patterns.HalfSine attribute), [1] (hmp.trialdata.TrialData attribute), [1] shape (hmp.distributions.Gamma attribute) (hmp.distributions.Lognormal attribute) (hmp.distributions.Wald attribute) (hmp.distributions.Weibull attribute) shift (hmp.distributions.Gamma attribute) (hmp.distributions.Lognormal attribute) (hmp.distributions.Wald attribute) (hmp.distributions.Weibull attribute) sim_info() (in module hmp.simulations) simulate() (in module hmp.simulations) simulated_times_and_parameters() (in module hmp.simulations) starts (hmp.trialdata.TrialData attribute), [1] T template (hmp.patterns.Arbitrary attribute), [1] (hmp.patterns.HalfSine attribute), [1] transform() (hmp.models.cumulative.CumulativeMethod method) (hmp.models.eliminative.EliminativeMethod method) (hmp.models.event.EventModel method) TrialData (class in hmp.trialdata) U user_input_n_comp() (hmp.transformers.pca.ProjPCA method) W Wald (class in hmp.distributions) Weibull (class in hmp.distributions) width (hmp.patterns.Arbitrary attribute), [1] (hmp.patterns.HalfSine attribute), [1] X xrchannel_pars (hmp.models.event.EventModel property) xrlikelihoods (hmp.models.event.EventModel property) xrtime_pars (hmp.models.event.EventModel property) xrtime_pars_dev (hmp.models.event.EventModel property) xrtraces (hmp.models.event.EventModel property)
