mir.stat.descriptive.multivariate

This module contains algorithms for multivariate descriptive statistics.

Members

CorrelationAccumulator struct CorrelationAccumulator(T, CorrelationAlgo correlationAlgo, Summation summation)
CorrelationAccumulator struct CorrelationAccumulator(T, CorrelationAlgo correlationAlgo, Summation summation)
CorrelationAccumulator struct CorrelationAccumulator(T, CorrelationAlgo correlationAlgo, Summation summation)
CorrelationAccumulator struct CorrelationAccumulator(T, CorrelationAlgo correlationAlgo, Summation summation)
CorrelationAccumulator struct CorrelationAccumulator(T, CorrelationAlgo correlationAlgo, Summation summation)
CovarianceAccumulator struct CovarianceAccumulator(T, CovarianceAlgo covarianceAlgo, Summation summation)
CovarianceAccumulator struct CovarianceAccumulator(T, CovarianceAlgo covarianceAlgo, Summation summation)
CovarianceAccumulator struct CovarianceAccumulator(T, CovarianceAlgo covarianceAlgo, Summation summation)
CovarianceAccumulator struct CovarianceAccumulator(T, CovarianceAlgo covarianceAlgo, Summation summation)
CovarianceAccumulator struct CovarianceAccumulator(T, CovarianceAlgo covarianceAlgo, Summation summation)

correlation template correlation(F, CorrelationAlgo correlationAlgo = CorrelationAlgo.hybrid, Summation summation = Summation.appropriate)
template correlation(CorrelationAlgo correlationAlgo = CorrelationAlgo.hybrid, Summation summation = Summation.appropriate)
template correlation(F, string correlationAlgo, string summation = "appropriate")
template correlation(string correlationAlgo, string summation = "appropriate"): Calculates the correlation of the inputs.
covariance template covariance(F, CovarianceAlgo covarianceAlgo = CovarianceAlgo.hybrid, Summation summation = Summation.appropriate)
template covariance(CovarianceAlgo covarianceAlgo = CovarianceAlgo.hybrid, Summation summation = Summation.appropriate)
template covariance(F, string covarianceAlgo, string summation = "appropriate")
template covariance(string covarianceAlgo, string summation = "appropriate"): Calculates the covariance of the inputs.