| Name : R-HGMND
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.5.2
| Date : 2024-06-14 11:48:23
|
| Group : Development/Libraries/Other
| Source RPM : R-HGMND-0.1.0-lp153.5.2.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : Heterogeneous Graphical Model for Non-Negative Data
|
Description :
Graphical model is an informative and powerful tool to explore the
conditional dependence relationships among variables. The traditional
Gaussian graphical model and its extensions either have a Gaussian
assumption on the data distribution or assume the data are homogeneous.
However, there are data with complex distributions violating these two
assumptions. For example, the air pollutant concentration records are
non-negative and, hence, non-Gaussian. Moreover, due to climate
changes, distributions of these concentration records in different
months of a year can be far different, which means it is uncertain
whether datasets from different months are homogeneous. Methods with a
Gaussian or homogeneous assumption may incorrectly model the
conditional dependence relationships among variables. Therefore, we
propose a heterogeneous graphical model for non-negative data (HGMND)
to simultaneously cluster multiple datasets and estimate the
conditional dependence matrix of variables from a non-Gaussian and
non-negative exponential family in each cluster.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
