TuringLang/Turing.jl: v0.42.5

Turing v0.42.5 Diff since v0.42.4 SMC and PG can now be used for models with keyword arguments, albeit with one requirement: the user must mark the model function as being able to produce. For example, if the model is @model foo(x; y) = a ~ Normal(x, y) then before sampling from this with SMC or PG, you will have to run using Turing @might_produce(foo) Merged pull requests: Enable keyword arguments for particle methods (#2660) (@penelopeysm) Closed issues: SMC samplers no longer support usage of keyword arguments in models (#2007) PDMat on vector from arraydist fails with reversediff (#2101) Consistent inferface for specifying model parameter spaces (#2139) Modernise the tracing data structure for DynamicPPL (#2423) VonMises failed to find valid initial parameters in 1000 tries. (#2584) Meta-Bayesian inference with Turing.jl (#2615)