| Name : R-potts
| |
| Version : 0.5.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.8
| Date : 2024-06-14 11:11:44
|
| Group : Development/Libraries/Other
| Source RPM : R-potts-0.5.11-lp153.1.8.src.rpm
|
| Size : 0.26 MB
| |
| Packager : (none)
| |
| Summary : Markov Chain Monte Carlo for Potts Models
|
Description :
Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts,
1952, < doi:10.1017/S0305004100027419>), which are the multi-color
generalization of Ising models (so, as as special case, also simulates
Ising models). Use the Swendsen-Wang algorithm (Swendsen and Wang,
1987, < doi:10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum
composite likelihood estimation of parameters (Besag, 1975,
< doi:10.2307/2987782>, Lindsay, 1988, < doi:10.1090/conm/080>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
