lifelines 0.16.0 on Python PyPI

Drop Python 3.4 support.
introduction of residual calculations in CoxPHFitter.compute_residuals. Residuals include "schoenfeld", "score", "delta_beta", "deviance", "martingale", and "scaled_schoenfeld".
removes estimation namespace for fitters. Should be using from lifelines import xFitter now. Thanks @usmanatron
removes predict_log_hazard_relative_to_mean from Cox model. Thanks @usmanatron
StatisticalResult has be generalized to allow for multiple results (ex: from pairwise comparisons). This means a slightly changed API that is mostly backwards compatible. See doc string for how to use it.
statistics.pairwise_logrank_test now returns a StatisticalResult object instead of a nasty NxN DataFrame 💗
Display log(p-values) as well as p-values in print_summary. Also, p-values below thesholds will be truncated. The orignal p-values are still recoverable using .summary.
Floats print_summary is now displayed to 2 decimal points. This can be changed using the decimal kwarg.
removed standardized from Cox model plotting. It was confusing.
visual improvements to Cox models .plot
print_summary methods accepts kwargs to also be displayed.
CoxPHFitter has a new human-readable method, check_assumptions, to check the assumptions of your Cox proportional hazard model.
A new helper util to "expand" static datasets into long-form: lifelines.utils.to_episodic_format.
CoxTimeVaryingFitter now accepts strata.

lifelines 0.16.0 v0.16.0 on Python PyPI