| Name : R-ConsensusOPLS
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-06-26 11:07:29
|
| Group : Development/Libraries/Other
| Source RPM : R-ConsensusOPLS-1.0.0-lp153.1.1.src.rpm
|
| Size : 5.85 MB
| |
| Packager : (none)
| |
| Summary : Consensus OPLS for Multi-Block Data Fusion
|
Description :
Merging data from multiple sources is a relevant approach for
comprehensively evaluating complex systems. However, the inherent
problems encountered when analyzing single tables are amplified with
the generation of multi-block datasets, and finding the relationships
between data layers of increasing complexity constitutes a challenging
task. For that purpose, a generic methodology is proposed by combining
the strengths of established data analysis strategies, i.e. multi-block
approaches and the Orthogonal Partial Least Squares (OPLS) framework to
provide an efficient tool for the fusion of data obtained from multiple
sources. The package enables quick and efficient implementation of the
consensus OPLS model for any horizontal multi-block data structure
(observation-based matching). Moreover, it offers an interesting range
of metrics and graphics to help to determine the optimal number of
components and check the validity of the model through permutation
tests. Interpretation tools include scores and loadings plots, as well
as Variable Importance in Projection (VIP), and performance
coefficients such as R2, Q2 and DQ2 coefficients. J. Boccard and D.N.
Rutledge (2013) < doi:10.1016/j.aca.2013.01.022>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
