The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, stats |
| Published: | 2024-07-08 |
| DOI: | 10.32614/CRAN.package.PPCDT |
| Author: | Guangbao Guo [aut, cre, cph], Jiarui Li [ctb] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | Apache License (== 2.0) |
| NeedsCompilation: | no |
| CRAN checks: | PPCDT results |
| Reference manual: | PPCDT.pdf |
| Package source: | PPCDT_0.2.0.tar.gz |
| Windows binaries: | r-devel: PPCDT_0.2.0.zip, r-release: PPCDT_0.2.0.zip, r-oldrel: PPCDT_0.2.0.zip |
| macOS binaries: | r-release (arm64): PPCDT_0.2.0.tgz, r-oldrel (arm64): PPCDT_0.2.0.tgz, r-release (x86_64): PPCDT_0.2.0.tgz, r-oldrel (x86_64): PPCDT_0.2.0.tgz |
| Old sources: | PPCDT archive |
Please use the canonical form https://CRAN.R-project.org/package=PPCDT to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.