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ddi
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
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[Scholar Profile | Author Map]
All associated links for this package
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 27 Oct. 2026.
Previous versions and publish date:
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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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