| Name : R-SBMSplitMerge
| |
| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.15.2
| Date : 2024-06-14 11:51:43
|
| Group : Development/Libraries/Other
| Source RPM : R-SBMSplitMerge-1.1.1-lp153.15.2.src.rpm
|
| Size : 0.46 MB
| |
| Packager : (none)
| |
| Summary : Inference for a Generalised SBM with a Split Merge Sampler
|
Description :
Inference in a Bayesian framework for a generalised stochastic block
model. The generalised stochastic block model (SBM) can capture group
structure in network data without requiring conjugate priors on the
edge-states. Two sampling methods are provided to perform inference on
edge parameters and block structure: a split-merge Markov chain Monte
Carlo algorithm and a Dirichlet process sampler. Green, Richardson
(2001) < doi:10.1111/1467-9469.00242> Neal (2000)
< doi:10.1080/10618600.2000.10474879> Ludkin (2019) < arXiv:1909.09421>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
