mixpp Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

BM	Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities
epdf	Probability density function with numerical statistics, e.g. posterior density
fnc	Class representing function of variables
Kalman	Kalman filter with covaraince matrices in square root form
KalmanFull	Basic Kalman filter with full matrices (education purpose only)!
mpdf	Conditional probability density, e.g. modeling some dependencies
RV	Class representing variables, most often random variables

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