**New features**:
- coordinates:
- tica: New option "weights". Can be "empirical", which does the same as before,
or "koopman", which uses the re-weighting procedure from [1] to compute equi-
librium covariance matrices. The user can also supply his own re-weighting me-
thod. This must be an object that possesses a function weights(X), that assigns
a weight to every time-step in a trajectory X. 1007
- covariance_lagged: This new method can be used to compute covariance matrices
and time-lagged covariance matrices between time-series. It is also possible
to use the re-weighting method from [1] to compute covariance matrices in equi-
librium. This can be triggered by the option "weights", which has the same spe-
cifications as in tica. 1007
- msm:
- estimate_markov_model: New option "weights". Can be empirical, which does the
same as before, or "oom", which triggers a transition matrix estimator based
on OOM theory to compute an equilibrium transition matrix from possibly non-
equilibrium data. See Ref. [2] for details. 1012, 1016
- timescales_msm: The same change as in estimate_markov_model. 1012, 1016
- TPT: if user provided sets A and B do not overlap (no need to split), preserve order of user states. 1005
- general: Added an automatic check for new releases upon import. 986
- References:
[1] Wu, H., Nueske, F., Paul, F., Klus, S., Koltai, P., and Noe, F. 2017. Bias reduced variational
approximation of molecular kinetics from short off-equilibrium simulations. J. Chem. Phys. (submitted),
https://arxiv.org/abs/1610.06773.
[2] Nueske, F., Wu, H., Prinz, J.-H., Wehmeyer, C., Clementi, C., and Noe, F. 2017. Markov State Models from
short non-Equilibrium Simulations - Analysis and Correction of Estimation Bias. J. Chem. Phys.
(submitted).
**Fixes**:
- coordinates:
- kmeans: fixed a rare bug, which led to a segfault, if NaN is contained in input data. 1010
- Featurizer: fix reshaping of AnglesFeature. 1018. Thanks RobertArbon
- plots: Fix drawing into existing figures for network plots. 1020