| Name : R-PPCDT
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-07-09 09:37:26
|
| Group : Development/Libraries/Other
| Source RPM : R-PPCDT-0.2.0-lp156.1.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : An Optimal Subset Selection for Distributed Hypothesis Testing
|
Description :
In the era of big data, data redundancy and distributed characteristics
present novel challenges to data analysis. This package introduces a
method for estimating optimal subsets of redundant distributed data,
based on PPCDT (Conjunction of Power and P-value in Distributed
Settings). Leveraging PPC technology, this approach can efficiently
extract valuable information from redundant distributed data and
determine the optimal subset. Experimental results demonstrate that
this method not only enhances data quality and utilization efficiency
but also assesses its performance effectively. The philosophy of the
package is described in Guo G. (2020) < doi:10.1007/s00180-020-00974-4>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
