mir.stat.descriptive.weighted

This module contains algorithms for descriptive statistics with weights.

Members

WMeanAccumulator struct WMeanAccumulator(T, Summation summation, AssumeWeights assumeWeights, U = T, Summation weightsSummation = summation): Output range for wmean.
WSummator struct WSummator(T, Summation summation, U = T): Output range for wsum.

wmean template wmean(F, Summation summation = Summation.appropriate, AssumeWeights assumeWeights = AssumeWeights.primary, G = F, Summation weightsSummation = Summation.appropriate)
template wmean(Summation summation = Summation.appropriate, AssumeWeights assumeWeights = AssumeWeights.primary, Summation weightsSummation = Summation.appropriate)
template wmean(F, AssumeWeights assumeWeights, Summation summation = Summation.appropriate, G = F, Summation weightsSummation = Summation.appropriate)
template wmean(F, bool assumeWeights, string summation = "appropriate", G = F, string weightsSummation = "appropriate")
template wmean(bool assumeWeights, string summation = "appropriate", string weightsSummation = "appropriate")
template wmean(F, string summation, bool assumeWeights = false, G = F, string weightsSummation = "appropriate")
template wmean(string summation, bool assumeWeights = false, string weightsSummation = "appropriate")
template wmean(F, string summation, G, string weightsSummation, bool assumeWeights)
template wmean(string summation, string weightsSummation, bool assumeWeights = false): Computes the weighted mean of the input.
wsum template wsum(F, Summation summation = Summation.appropriate, G = F)
template wsum(Summation summation = Summation.appropriate)
template wsum(F, string summation, G = F)
template wsum(string summation): Computes the weighted sum of the input.