toe_emerge() estimates time of emergence with linear, quadratic or loess
signals, baseline or residual noise, configurable threshold and persistence,
and AR(1) or moving-block bootstrap uncertainty.toe_ensemble(), toe_prob() and toe_sensitivity() for ensembles,
probabilities and threshold sensitivity.toe_trend() (Sen's slope, Mann-Kendall, trend-free prewhitening) and
toe_noise().toe_annual(), toe_anomaly(), toe_simulate() and the toe_example
data set.