| Name : R-rjmcmc
| |
| Version : 0.4.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.12
| Date : 2024-06-14 11:07:03
|
| Group : Development/Libraries/Other
| Source RPM : R-rjmcmc-0.4.5-lp153.3.12.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Reversible-Jump MCMC Using Post-Processing
|
Description :
Performs reversible-jump Markov chain Monte Carlo (Green, 1995)
< doi:10.2307/2337340>, specifically the restriction introduced by
Barker & Link (2013) < doi:10.1080/00031305.2013.791644>. By utilising a
\'universal parameter\' space, RJMCMC is treated as a Gibbs sampling
problem. Previously-calculated posterior distributions are used to
quickly estimate posterior model probabilities. Jacobian matrices are
found using automatic differentiation. For a detailed description of
the package, see Gelling, Schofield & Barker (2019)
< doi:10.1111/anzs.12263>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
