Package: PPCDT
Type: Package
Title: An Optimal Subset Selection for Distributed Hypothesis Testing
Version: 0.2.0
Authors@R: c(person("Guangbao Guo",role = c("aut", "cre","cph"),email = "ggb11111111@163.com"),person("Jiarui Li",role = "ctb",email = "jiarui0191@163.com"))
Maintainer: Guangbao Guo <ggb11111111@163.com>
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>.
License: Apache License (== 2.0)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: MASS,stats
NeedsCompilation: no
RoxygenNote: 7.3.1
Packaged: 2024-07-06 14:45:07 UTC; LJR
Author: Guangbao Guo [aut, cre, cph],
  Jiarui Li [ctb]
Repository: CRAN
Date/Publication: 2024-07-08 11:00:06 UTC
Built: R 4.6.0; ; 2026-04-25 21:17:53 UTC; unix
