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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4 |
rolling linux/jammy R-4.5 | MissMech_1.0.4.tar.gz |
144.7 KiB |
1.0.4 |
rolling linux/noble R-4.5 | MissMech_1.0.4.tar.gz |
144.6 KiB |
1.0.4 |
rolling source/ R- | MissMech_1.0.4.tar.gz |
73.2 KiB |
1.0.4 |
latest linux/jammy R-4.5 | MissMech_1.0.4.tar.gz |
144.7 KiB |
1.0.4 |
latest linux/noble R-4.5 | MissMech_1.0.4.tar.gz |
144.6 KiB |
1.0.4 |
latest source/ R- | MissMech_1.0.4.tar.gz |
73.2 KiB |
1.0.4 |
2026-04-26 source/ R- | MissMech_1.0.4.tar.gz |
73.2 KiB |
1.0.4 |
2026-04-23 source/ R- | MissMech_1.0.4.tar.gz |
73.2 KiB |
1.0.4 |
2026-04-09 windows/windows R-4.5 | MissMech_1.0.4.zip |
150.9 KiB |
1.0.4 |
2025-04-20 source/ R- | MissMech_1.0.4.tar.gz |
73.2 KiB |