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PPCDT

0.2.0Package record

An Optimal Subset Selection for Distributed Hypothesis Testing

0packages depend
1.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 52 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.9K
CRAN downloads in the past year
Rank #24,541 · ~5/day · ~154/mo
Daily download trend is not available in this view yet.
20730 days
47190 days
1.9K1 year
Compare downloads with other packages →
Also on65 r2u3 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing PPCDT adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (2)
MASSstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2024), Copyright holder
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0Latest
    record
    2024-07-08 · current release · diff ↗
  • 0.1.0
    record
    2024-05-25
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-05-25
Total releases
2 / 2 yrs
License
Apache License (== 2.0) · relicensed from MIT + file LICENSE in 0.2.0
Minimum R
≥ 3.5.0
Download size
2.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PPCDT")
Guangbao Guo, & Jiarui Li. (2024). PPCDT: An Optimal Subset Selection for Distributed Hypothesis Testing (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PPCDT

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PPCDT version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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