ICtest
Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.
- Version0.3-5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/18/2022
Documentation
Team
Klaus Nordhausen
MaintainerShow author detailsJoni Virta
Show author detailsRolesAuthorHannu Oja
Show author detailsRolesAuthorDavid E. Tyler
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 305 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 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 4,102 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 Sep 11, 2024 with 40 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
- Depends3 packages
- Imports9 packages
- Suggests3 packages
- Linking To2 packages
- Reverse Depends2 packages
- Reverse Imports2 packages