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]

MissMech_1.0.4.9000.tar.gz
MissMech_1.0.4.9000.zip(r-4.6)MissMech_1.0.4.9000.zip(r-4.5)
MissMech_1.0.4.9000.tgz(r-4.6-any)MissMech_1.0.4.9000.tgz(r-4.5-any)
MissMech_1.0.4.9000.tar.gz(r-4.6-any)MissMech_1.0.4.9000.tar.gz(r-4.5-any)
MissMech_1.0.4.9000.tgz(r-4.5-emscripten)
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'))

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

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

On CRAN:

Conda:

missing-data

3.57 score 75 scripts 709 downloads 14 exports 0 dependencies

Last updated from:c6a1347c41. Checks:8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK143
linux-release-x86_64OK98
macos-devel-arm64OK113
macos-release-arm64OK157
windows-develOK58
windows-releaseOK52
wasm-releaseOK92

Exports:AndersonDarlingDdfDelLessDataHawkinsImputeLegNormMimputeMimputeSMlsOrderMissingSexpectSimNeyTestMCARNormalityTestUNey

Dependencies: