| Name : R-RFCCA
| |
| Version : 2.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 12:12:41
|
| Group : Development/Libraries/Other
| Source RPM : R-RFCCA-2.0.0-lp153.1.4.src.rpm
|
| Size : 1.28 MB
| |
| Packager : (none)
| |
| Summary : Random Forest with Canonical Correlation Analysis
|
Description :
Random Forest with Canonical Correlation Analysis (RFCCA) is a random
forest method for estimating the canonical correlations between two
sets of variables depending on the subject-related covariates. The
trees are built with a splitting rule specifically designed to
partition the data to maximize the canonical correlation heterogeneity
between child nodes. The method is described in Alakus et al. (2021)
< doi:10.1093/bioinformatics/btab158>. \'RFCCA\' uses \'randomForestSRC\'
package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3.
The custom splitting rule feature is utilised to apply the proposed
splitting rule. The \'randomForestSRC\' package implements \'OpenMP\' by
default, contingent upon the support provided by the target
architecture and operating system. In this package, \'LAPACK\' and \'BLAS\'
libraries are used for matrix decompositions.
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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 |
