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:
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
- agingdata - Montpetit and Bergeman Longitudinal Study on Aging Data
Last updated from:c6a1347c41. Checks:8 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | OK | 98 | ||
| macos-devel-arm64 | OK | 113 | ||
| macos-release-arm64 | OK | 157 | ||
| windows-devel | OK | 58 | ||
| windows-release | OK | 52 | ||
| wasm-release | OK | 92 |
Exports:AndersonDarlingDdfDelLessDataHawkinsImputeLegNormMimputeMimputeSMlsOrderMissingSexpectSimNeyTestMCARNormalityTestUNey
Dependencies:
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 |
