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.
- Version1.0.4
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- MissMech citation info
- Last release03/05/2024
Documentation
Team
Mao Kobayashi
Mortaza Jamshidian
Show author detailsRolesAuthorSiavash Jalal
Show author detailsRolesAuthorCamden Jansen
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,289 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 27 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,053 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Apr 03, 2025 with 88 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN