v0.42.7

Turing v0.42.7

Diff since v0.42.6

Avoid reevaluating the model on MCMC iterations where the transition is not saved to the chain (e.g. in initial burn-in, or when using thinning).
Also avoid each component sampler of Gibbs unnecessarily evaluating the model once per iteration.

Merged pull requests:

• Avoid reevaluating model where unnecessary (#2759) (@penelopeysm)

Closed issues:

• Gibbs wastefully re-evaluates model once per component sampler per iteration (#2639)