CptNonPar 0.3.0

• The associated paper is now accepted for publication in Biometrika: see
  doi:10.1093/biomet/asaf024 for full details.
• Updated multiscale.np.mojo() function so that returned cpts are given in
  time order.
• The p-values returned by np.mojo(), np.mojo.multilag(), and
  mulsticale.np.mojo() have been replaced by importance scores: when the
  bootstrap is used, these are essentially one minus the p-value.
  Larger scores give more evidence of a change point.
• Fixed error that occurs when using the manual threshold and the
  np.mojo.multilag() function, thanks to Chuanyang Zhang for spotting this.
• You can now use different manual thresholds for different lags: for use
  in np.mojo.multilag(), you can supply a vector, whilst for
  mulsticale.np.mojo(), you can supply a list of vectors.
• Added package level documentation: see ?CptNonPar.