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To Do

• improve CRR
• load masks created in Witec project
• in normalize the 'individual' option should include:
  • checking for NaN values in the spectrum
  • checking of the signal in the given ramanshift is larger than the background std
  • implement normalize that is not based on peakfit. Take mean in an interval
• make loading of data possible without an info file. Useful for averaged spectra from maps.
• make a faster peakmask method. It shouldn't do fitting. Maybe just .mean().
• add format and type checks for optional variables
• implement 'individual' bg subtraction for ramanmap
• add units to the fit result.
• reverse engineer the spectra positions. Implement a "navigation" method, like in rhkpy
• consider using the exported MATLAB (*.mat) files as inputs (binary).