Package: MissMech 1.0.4.9000

MissMech: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/> <doi:10.18637/jss.v056.i06>.

Authors:Mortaza Jamshidian [aut], Siavash Jalal [aut], Camden Jansen [aut], Mao Kobayashi [cre]

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

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

Peer review:

Bug tracker:https://github.com/indenkun/missmech/issues

Datasets:
  • agingdata - Montpetit and Bergeman Longitudinal Study on Aging Data

On CRAN:

missing-data

3.72 score 53 scripts 874 downloads 14 exports 0 dependencies

Last updated 9 months agofrom:c6a1347c41. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:AndersonDarlingDdfDelLessDataHawkinsImputeLegNormMimputeMimputeSMlsOrderMissingSexpectSimNeyTestMCARNormalityTestUNey

Dependencies: