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 1,317 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 34 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 8,949 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 24, 2025 with 85 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