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ddi  

The Data Defect Index for Samples that May not be IID
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ddi", "0.1.0")



Attach the package and use:
library("ddi")
Maintained by
Shiro Kuriwaki
[Scholar Profile | Author Map]
First Published: 2020-01-26
Latest Update: 2020-01-26
Description:
Implements Meng's data defect index (ddi), which represents the degree of sample bias relative to an iid sample. The data defect correlation (ddc) represents the correlation between the outcome of interest and the selection into the sample; when the sample selection is independent across the population, the ddc is zero. Details are in Meng (2018) , "Statistical Paradises and Paradoxes in Big Data (I): Law of Large Populations, Big Data Paradox, and the 2016 US Presidential Election." Survey estimates from the Cooperative Congressional Election Study (CCES) is included to replicate the article's results.
How to cite:
Shiro Kuriwaki (2020). ddi: The Data Defect Index for Samples that May not be IID. R package version 0.1.0, https://cran.r-project.org/web/packages/ddi. Accessed 21 Feb. 2025.
Previous versions and publish date:
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Other packages that cited ddi R package
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Other R packages that ddi depends, imports, suggests or enhances
Complete documentation for ddi
Functions, R codes and Examples using the ddi R package
Some associated functions: ddc . g2016 . 
Some associated R codes: data.R . ddi.R .  Full ddi package functions and examples
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