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.