This repository has been archived by the owner on May 12, 2019. It is now read-only.
0.10.0
Past due by over 7 years
50% complete
New functionality (Gibbs sampling):
- Gibbs factor, i.e. factor product over disjoint cliques not normalized by associated partition function,
- construction of a variable per node in the graphical model by taking the Gibbs factor as input,
- option for determining Jacobian correction for involved parameters,
- tuner for adaptive Metropolis-within-Gibbs introduc…
New functionality (Gibbs sampling):
- Gibbs factor, i.e. factor product over disjoint cliques not normalized by associated partition function,
- construction of a variable per node in the graphical model by taking the Gibbs factor as input,
- option for determining Jacobian correction for involved parameters,
- tuner for adaptive Metropolis-within-Gibbs introduced by Roberts and Rosenthal,
- adaptive Metropolis-within-Gibbs (AMWG) sampler by Roberts and Rosenthal,
- examples of using AMWG to run simulations from OpenBUGS' "Examples, Volume 1".