| Name : R-dagHMM
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:35:34
|
| Group : Development/Libraries/Other
| Source RPM : R-dagHMM-0.1.0-lp153.1.7.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Directed Acyclic Graph HMM with TAN Structured Emissions
|
Description :
Hidden Markov models (HMMs) are a formal foundation for making
probabilistic models of linear sequence. They provide a conceptual
toolkit for building complex models just by drawing an intuitive
picture. They are at the heart of a diverse range of programs,
including genefinding, profile searches, multiple sequence alignment
and regulatory site identification. HMMs are the Legos of computational
sequence analysis. In graph theory, a tree is an undirected graph in
which any two vertices are connected by exactly one path, or
equivalently a connected acyclic undirected graph. Tree represents the
nodes connected by edges. It is a non-linear data structure. A
poly-tree is simply a directed acyclic graph whose underlying
undirected graph is a tree. The model proposed in this package is the
same as an HMM but where the states are linked via a polytree structure
rather than a simple path.
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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 |
