| Name : R-UNPaC
| |
| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.4
| Date : 2024-06-14 11:47:09
|
| Group : Development/Libraries/Other
| Source RPM : R-UNPaC-1.1.1-lp153.7.4.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Non-Parametric Cluster Significance Testing with Reference to a Unimodal Null Distribution
|
Description :
Assess the significance of identified clusters and estimates the true
number of clusters by comparing the explained variation due to the
clustering from the original data to that produced by clustering a
unimodal reference distribution which preserves the covariance
structure in the data. The reference distribution is generated using
kernel density estimation and a Gaussian copula framework. A dimension
reduction strategy and sparse covariance estimation optimize this
method for the high-dimensional, low-sample size setting. This method
is described in Helgeson, Vock, and Bair (2021)
< doi:10.1111/biom.13376>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
