MNM
Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks
Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) doi:10.1007/978-1-4419-0468-3 and Nordhausen and Oja (2011) doi:10.18637/jss.v043.i05.
- Version1.0-4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- MNM citation info
- Last release11/29/2023
Documentation
Team
Klaus Nordhausen
MaintainerShow author detailsHannu Oja
Show author detailsRolesAuthorJyrki Mottonen
Insights
Last 30 days
This package has been downloaded 271 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 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 3,647 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 83 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
Binaries
Dependencies
- Depends2 packages
- Imports2 packages
- Suggests2 packages
- Reverse Imports1 package
- Reverse Suggests1 package