Monaco

Added
* DVARS fleshed out, moved out of alpha
* Can now plot sensitivity indices and ratios
Changed
Removed

Added
* Added `singlethreaded` kwarg to `Sim` initialization.
* Added `daskkwargs` kwarg to `Sim` initialization.
* Added `percentile` varstat.
Changed
* For all datafiles, switch from `dill` to `cloudpickle` for pickling.
* Parallel processing backend moved from `pathos` to `dask`.
* `Sim.PreProcessCase`, `Sim.RunCase`, and `Sim.PostProcessCase` broken out to
`case_runners.py` functions.
Removed
* Removed `cores` kwarg from `Sim` initialization.
* Removed python 3.7 support, to align with dask.

Added
* Plots of all the example statistical distributions
* Bootstrapping confidence interval for a VarStat
* Plot bootstrapped confidence intervals
* Copy of template in jupyter notebook format
Changed
* Change color palette to match matplotlib defaults
* Discrete InVar plots show stem pmfs
Removed

Added
* Vars get their own `plot()` method as a shorthand
* Baseball example
Changed
Removed
* Rocket example

Added
* Experimental D-VARS sensitivity analysis
* `Sim.scalarOutVars()` dict and `Sim.noutvars`
* You can specify a custom varstat
* You can plot plot in percentile space rather than nums
Changed
* Removed mc_ and MC prefixes from all functions and classes

Added
* Python 3.7.0 support (pandas testing made optional)
Changed
* All functions are now imported into top-level package, so you don't need to dig through modules