Metadata-Version: 2.1
Name: ROA
Version: 1.4
Summary: A simple function to compute the running optimal average and effective no. of parameters.
Home-page: https://github.com/FergusDonnan/Running-Optimal-Average
Author: Fergus Donnan
License: UNKNOWN
Description: # Running-Optimal-Average
        
        Usage:
        
        t, model, errs, P = RunningOptimalAverage(t_data, Flux, Flux_err, delta)
        
        Calculate running optimal average on a fine grid. Also returns errors and effective number of parameters.
        
        Import using:
        
        from ROA import RunningOptimalAverage
        
        Parameters
        ----------
        t_data  :  float array :
            Time values of data points
            
        Flux  : float array :
            Flux data values
            
        Flux_err : float array :
            Errors for flux data points
            
        delta  : float :
            Window width of Gaussian memory function - controls how flexible model is
        
        
        Returns
        ----------
        t  : float array :
            Time values of grid used to calculate ROA
            
        model : float array :
            Running optimal average's calculated for each time t
            
        errs : float array :
            Errors of running optimal average
            
        P : float :
            Effective number of parameters for model
        
        
        
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
