| Name : R-UNCOVER
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.13.1
| Date : 2024-09-30 19:24:54
|
| Group : Development/Libraries/Other
| Source RPM : R-UNCOVER-1.1.0-lp153.13.1.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : Utilising Normalisation Constant Optimisation via Edge Removal (UNCOVER)
|
Description :
Model data with a suspected clustering structure (either in co-variate
space, regression space or both) using a Bayesian product model with a
logistic regression likelihood. Observations are represented
graphically and clusters are formed through various edge removals or
additions. Cluster quality is assessed through the log Bayesian
evidence of the overall model, which is estimated using either a
Sequential Monte Carlo sampler or a suitable transformation of the
Bayesian Information Criterion as a fast approximation of the former.
The internal Iterated Batch Importance Sampling scheme (Chopin (2002
< doi:10.1093/biomet/89.3.539>)) is made available as a free standing
function.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
