Package: missDiag 1.0.1

Moritz Marbach

missDiag: Comparing Observed and Imputed Values under MAR and MCAR

Implements the computation of discrepancy statistics summarizing differences between the density of imputed and observed values and the construction of weights to balance covariates that are part of the missing data mechanism as described in Marbach (2021) <arxiv:2107.05427>.

Authors:Moritz Marbach <[email protected]> [aut, cre]

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missDiag.pdf |missDiag.html✨
missDiag/json (API)
NEWS

# Install 'missDiag' in R:
install.packages('missDiag', repos = c('https://sumtxt.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sumtxt/missdiag/issues

Datasets:
  • anes08 - 11 Variables from the 2008 American National Election Study
  • anes08_pmm - 11 Variables from the 2008 American National Election Study
  • anes08_rng - 11 Variables from the 2008 American National Election Study

On CRAN:

4 exports 4 stars 0.93 score 34 dependencies 210 downloads

Last updated 3 years agofrom:06230c44f6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:missDiagparam_cobaltparam_ebalparam_sbw

Dependencies:backportschkclicobaltcolorspacecrayonfansifarverFormulaggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr