
This example performs regression on a synthetic cubic dataset with
added noise.

Instructions:

> python mkdata.py
> ./cubic

Or for estimating error:

> ./cubic -l

> python plot_misfit.py
> python plot_credible.py
> python plot_mean.py
> python plot_median.py
> python plot_mode.py
> python plot_order.py

And if you have run with the -l (error estimation) option:

> python plot_lambda.py
