| Name : R-parafac4microbiome
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.2.1
| Date : 2024-09-30 19:11:58
|
| Group : Development/Libraries/Other
| Source RPM : R-parafac4microbiome-1.0.3-lp155.2.1.src.rpm
|
| Size : 1.69 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
|
Description :
Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of
longitudinal microbiome data. You can import your own data with our
import functions or use one of the example datasets to create your own
PARAFAC models. Selection of the optimal number of components can be
done using assessModelQuality() and assessModelStability(). The
selected model can then be plotted using plotPARAFACmodel(). The
Parallel Factor Analysis method was originally described by Caroll and
Chang (1970) < doi:10.1007/BF02310791> and Harshman (1970)
< https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
