Function reference • mbtransfer

All functions

append_interactions(): Add Interactions to Predictor Matrix

consistency_mirror(): Mirror Statistics from a Single Split

consistency_mirror_multisplit(): Compute Mirrors across Splits

counterfactual_ts(): Generate Counterfactual versions of a ts_inter object

interaction_hm(): Visualize Time Series Heatmaps

interaction_search(): Search for Candidate Interactions

mbtransfer(): Transfer Function Model for ts_inter objects

mbtransfer_model-class: Transfer Function Model Class

mbtransfer_predict(): Prediction method for mbtransfer objects

model_predict_single(): Prediction for a Single Subject

model_predict_step(): Predictions for a single timepoint and subject

patchify_df(): Sliding Windows for a ts_inter object

patchify_single(): Sliding Windows for a ts_inter_single object

patchify_single_df(): Convert patchify_single output into a data.frame

pd_effects(): Counterfactual Partial Dependence Effects

pd_splits(): Mirror Splits from Partial Dependence

pivot_ts(): Joined ts dfs

predict(<mbtransfer_model>): Prediction method for mbtransfer models

predictor_names(): Create uniform column names for patchified df

predictors(): Generate a Predictor Matrix

pulses(): Hypothetical Pulse Interventions

replace_inter_(): ts is a single element of a ts_inter class

sample_ts(): Randomly subset a ts_inter object

select_taxa(): Significant Taxa using Mirror Statistics

sim_ts: Simulated Time Series

steps(): Hypothetical Step Interventions

subset_values(): Subset values of a ts object

ts_from_dfs(): Build a ts

ts_inter-class: An S4 class representing a collection of time series under environmental shifts

ts_inter_single-class: An S4 class to represent a single subject's series