Package: ddi
Type: Package
Title: The Data Defect Index for Samples that May not be IID
Version: 0.1.0
Authors@R: c(person(given = "Shiro",
             family = "Kuriwaki",
             role = c("aut", "cre"),
             email = "shirokuriwaki@gmail.com",
             comment = c(ORCID = "0000-0002-5687-2647")))
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)
        <doi:10.1214/18-AOAS1161SF>, "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.
Encoding: UTF-8
URL: https://github.com/kuriwaki/ddi
BugReports: http://github.com/kuriwaki/ddi/issues
License: GPL (>= 2)
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0), dplyr, tibble
Repository: https://kuriwaki.r-universe.dev
Date/Publication: 2020-05-09 01:04:05 UTC
RemoteUrl: https://github.com/kuriwaki/ddi
RemoteRef: HEAD
RemoteSha: bbbc6772ef521b958033485f5fc30cb096e191b1
NeedsCompilation: no
Packaged: 2026-07-02 09:16:44 UTC; root
Author: Shiro Kuriwaki [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5687-2647>)
Maintainer: Shiro Kuriwaki <shirokuriwaki@gmail.com>