function compute_dtrajs_effective

deeptime.markov.compute_dtrajs_effective(dtrajs, lagtime: int, n_states: int, stride: Union[int, str])

Takes discrete trajectories as input and strides these with an effective stride. See methods compute_effective_stride and lag_observations.

Parameters:

• dtrajs (array_like or list of array_like) – discrete trajectories

• lagtime (int) – lagtime

• n_states (int) – number of resolved states

• stride (int or str) – if ‘effective’, computes effective stride, otherwise uses int value

Return type:

Lagged and stridden observations.