Python package for discrete-time filtering using influence diagrams. Converts Gaussian distributions between covariance form and influence diagram (ID) form, where matrix B holds arc coefficients and vector V holds variances. Supports measurement updates, time updates, and evidence assimilation via Bayesian methods.
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