New version: AbstractMCMC v5.5.0

[JuliaRegistrator]

• Registering package: AbstractMCMC
• Repository: https://github.com/TuringLang/AbstractMCMC.jl
• Created by: @sunxd3
• Version: v5.5.0
• Commit: 467b07621975d81856792d0788f0e490c3ecaaa5
• Reviewed by: @sunxd3
• Reference: TuringLang/AbstractMCMC.jl@467b076#commitcomment-147949176
• Description: Abstract types and interfaces for Markov chain Monte Carlo methods
• Release notes:

This PR introduce two functions on sampler state, `getparams` and `setparams!!`. `getparams` allows retrieving the values of the parameters as a vector. `setparams!!` is the counter part of `getparams`. 

This is part of the effort of making interaction between samplers easier. The motivation of this PR is that a "high-order" MCMC (e.g. Gibbs) can use `getparams` and `setparams!!` without having to know the exact type of the sampler state, thus paving way to a more generalized sampler design and implementation.

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