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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.