Pyabc

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* Introduce acceptor.StochasticAcceptor to encode the stochastic acceptance
step generalizing the standard uniform criterion.
* Introduce distance.StochasticKernel to encode noise distributions, with
several concrete implementations already.
* Introduce epsilon.Temperature to capture the temperature replacing the
traditional epsilons. In addition, multiple concrete
pyabc.epsilon.TemperatureSchemes have been implemented that handle the
calculation of the next temperature value (all 197).

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* Add high-level versions of the kde plotting routines (204).
* Add unit tests for common epsilon schemes (207).

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* Move to cffi>=1.13.1 after that bug was surprisingly quickly fixed (195).
* Create sub-module for epsilon (189).
* Add plots for sample and acceptance rate trajectories (193).

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* Add create_sqlite_db_id convenience function to create database names.
* Temporarily require cffi=1.12.2 for rpy2 on travis (all 185).
* Introduce UniformAcceptor and SimpleFunctionAcceptor classes to streamline
the traditional acceptance step.
* Add AcceptorResult and allow weights in the acceptance step (all 184).

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* Use latest pypi rpy2 version on travis and rtd since now the relevant
issues were addressed there (easier build, esp. for users).
* Update rtd build to version 2 (all 179).
* Render logo text for platform independence.
* Prevent stochastic transition test from failing that often.
* Remove deprecated pd.convert_objects call in web server.
* Allow pandas.Series as summary statistics, by conversion to
pandas.DataFrame (all 180).

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* Add AggregatedDistance function, and a basic self-tuned version
AdaptiveAggregatedDistance.
* Add additional factors to PNormDistance and AggregatedDistance for
flexibility. Minor API break: argument w renamed to weights.
* In the adaptive_distances and the aggregated_distances notebooks, add
examples where some methods can fail.
* Add plot_total_sample_numbers plot (all 173).