GWnnegPCA
Geographically Weighted Non-Negative Principal Components Analysis
Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses doi:10.17608/k6.auckland.9850826.v1.
- Version0.0.5
- R versionR (≥ 3.5.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Last release02/05/2025
Documentation
Team
Narumasa Tsutsumida
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 242 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 8 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 2,585 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Feb 08, 2025 with 51 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
- Imports3 packages
- Suggests1 package