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-4.7)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)
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MissMech_1.0.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

missing-data

3.60 score 79 scripts 545 downloads 14 exports 0 dependencies

Last updated from:c6a1347c41. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	104
source / vignettes	OK	139
linux-release-x86_64	OK	113
macos-release-arm64	OK	145
macos-oldrel-arm64	OK	122
windows-devel	OK	65
windows-release	OK	67
windows-oldrel	OK	78
wasm-release	OK	125

Exports:AndersonDarling Ddf DelLessData Hawkins Impute LegNorm Mimpute MimputeS Mls OrderMissing Sexpect SimNey TestMCARNormality TestUNey

Dependencies:

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random	MissMech-package MissMech
Montpetit and Bergeman Longitudinal Study on Aging Data	agingdata
K-Sample Anderson Darling Test	AndersonDarling AndresonDarling
Hessian of the observed datat Multivariate Normal Log-Likelihood with Incomplete Data	Ddf
Removes groups with identical missing data patterns having at most a given number of cases	DelLessData
Test Statistic for the Hawkins Homoscedasticity Test	Hawkins
Parametric and Non-Parameric Imputation	Impute Mimpute MimputeS MinputeS
Evaluating Legendre's Polynomials of Degree 1, 2, 3, or 4	LegNorm
ML Estimates of Mean and Covariance Based on Incomplete Data	Mls Sexpect
Order Missing Data Pattern	OrderMissing print.orderpattern summary.orderpattern
Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random	boxplot.testhomosc print.testhomosc summary.testhomosc TestMCARNormality
Test of Goodness of Fit (Uniformity)	SimNey TestUNey