ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing.

Diff since v3.9.2

Closed issues:

• The documentation needs "how to add nodes and rules" (#296)
• @call_rule does not play nicely with addons (#332)
• CVI Support for the Categorical Distribution (#334)
• Rand for GammaShapeRate is broken. (#337)
• 'v_a_vT' is slow and named wrong (#343)
• Create sparse matrix structure for outer product of StandardBasisVector (#344)
• MethodError: *(::LinearAlgebra.Diagonal{Float64, Vector{Float64}}, ::StandardBasisVector{Float64}) is ambiguous. (#348)

Merged pull requests:

• CompatHelper: bump compat for LazyArrays to 1, (keep existing compat) (#304) (@github-actions[bot])
• CompatHelper: bump compat for StatsBase to 0.34, (keep existing compat) (#313) (@github-actions[bot])
• Improving the prod function for Gaussian Distributions in CVI Approximation (#335) (@Nimrais)
• CVI Support for the Categorical Distribution (#336) (@Nimrais)
• Add Half-normal node (#338) (@albertpod)
• fix sampling from GammaShapeRate (#339) (@bvdmitri)
• Fix printing bug (#345) (@bartvanerp)
• Allow returning addons from the @call_rule (#346) (@bvdmitri)
• Fix v_a_vT and StandardBasisVector (#347) (@bvdmitri)
• Fix ambiguity error for * between Diagonal and StandardBasisVector (#349) (@bvdmitri)