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]

missDiag_1.0.1.tar.gz
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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'))

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:

Conda:

3.30 score 4 stars 180 downloads 4 exports 34 dependencies

Last updated 4 years agofrom:06230c44f6. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-winOKFeb 25 2025
R-4.5-macOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025
R-4.4-winOKFeb 25 2025
R-4.4-macOKFeb 25 2025
R-4.3-winOKFeb 25 2025
R-4.3-macOKFeb 25 2025

Exports:missDiagparam_cobaltparam_ebalparam_sbw

Dependencies:backportschkclicobaltcolorspacecrayonfansifarverFormulaggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr