All methods tested in this work are implemented in the open-source Python package RED (Robust Equilibration Detection, where equilibration is used in the sense of finding the optimal truncation point), available from the PyPI, conda-forge, and at github.com/fjclark/red. This provides alternatives for the PyMBAR timeseries "detect equilibration" function. While these methods were useful for selecting truncation points given data, they were not generally useful for detecting insufficient sampling (lack of equilibration) in our data.