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PPCDT  

An Optimal Subset Selection for Distributed Hypothesis Testing
View on CRAN: Click here


Download and install PPCDT package within the R console
Install from CRAN:
install.packages("PPCDT")

Install from Github:
library("remotes")
install_github("cran/PPCDT")

Install by package version:
library("remotes")
install_version("PPCDT", "0.2.0")



Attach the package and use:
library("PPCDT")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-25
Latest Update: 2024-05-25
Description:
In the era of big data, data redundancy and distributed characteristics pose new challenges to data analysis. This article proposes a method of optimal subset estimation for redundant distributed data based on PPC. Through PPC technology, this method can effectively extract useful information from redundant distributed data and estimate the optimal subset. Experimental results show that this method can improve data quality and utilization efficiency and evaluate its performance.The philosophy of the package is described in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.
How to cite:
Guangbao Guo (2024). PPCDT: An Optimal Subset Selection for Distributed Hypothesis Testing. R package version 0.2.0, https://cran.r-project.org/web/packages/PPCDT. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-05-25 19:20)
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Complete documentation for PPCDT
Functions, R codes and Examples using the PPCDT R package
Full PPCDT package functions and examples
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