Sort these notes

These notes were in the readme, those still useful should be somewhere else (maybe open issues for some of them).

## Features, warnings, and details

- **You can start and stop the simulations** This is pretty robust, and works the way you would expect even if you have set a random seed. This is useful if you want to peek at the histogram early.
- **The progressbar is extra informative** Notice that it collects all the warnings from each PyMC sampling run and aggregates it for you. If you are getting tons of divergences, maybe you do not need simulation based calibration to know your model has some problems?
- **This takes a long time** It is embarrassingly parallel, but this implementation will not help you with that.
- **Other rank statistics** You can add a `pm.Deterministic` variable to your model to compute other rank statistics.

## Examples from the paper

## TODO

- Add thinning
- Add ADVI option
- Run on all examples from paper

Start in the README section titled “Features, warnings, and details” and review the notes under “Examples from the paper” and “TODO.” Determine which notes remain useful, move appropriate material out of the README, and separate actionable items into issues where needed. Done means the README is focused and the retained notes and TODO items have clear locations.

Written by the indexing model from the issue text.