Common types for implementing Markov Chain Monte Carlo (MCMC) algorithms.
An instance of an MCMC problem can be characterized by the following:
A /target distribution/ over some parameter space
A /parameter space/ for a Markov chain to wander over
A /transition operator/ to drive the Markov chain
/mcmc-types/ provides the suitably-general 'Target', 'Chain', and 'Transition' types for representing these things respectively.
| Package Version | Update ID | Released | Package Hub Version | Platforms | Subpackages |
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| 1.0.3-bp150.2.3 info | GA Release | 2018-08-01 | 15 |
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| 1.0.3-bp150.2.7 info | GA Release | 2018-07-31 | 15 |
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| 1.0.3-bp150.2.6 info | GA Release | 2018-07-30 | 15 |
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