MutualInfoMultiVariateKernel now computes statistical significance based on shuffling the first variable (the source) in line with the description in ChannelCalculator.
This adds ability to add multiple observations for a MutualInfoMultiVariateKernel calculator also.
Added routines in MathsUtils for uni- and multi-variate normal PDF and CDF (univariate only).
Implemented local MI for Gaussian MI. Pulled many routines into the MutualInfoMultiVariateCommon
Restructured MeasurementDistribution to have child classes EmpiricalMeasurementDistribution and AnalyticMeasurementDistribution - this resulted in many classes being altered.
Added ChiSquare distribution methods to MathsUtils.
Added more covariance methods to MatrixUtils.
Changed method signatures for initialisers for multivariate channel calculator (transfer entropy and mutual information) classes to have source dimensions before destination dimensions, in line with the addObservations (etc.) methods.