MTPS
Multi-Task Prediction using Stacking Algorithms
Simultaneous multiple outcomes prediction based on revised stacking algorithms, which enables the integration of information from predictions of individual models. An implementation of methodologies proposed in our paper: Li Xing, Mary L Lesperance, Xuekui Zhang. (2019) Bioinformatics, "Simultaneous prediction of multiple outcomes using revised stacking algorithms" doi:10.1093/bioinformatics/btz531.
- Version1.0.2
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Simultaneous prediction of multiple outcomes using revised stacking algorithms
- Last release06/14/2023
Documentation
Team
Li Xing
Xuekui Zhang
Show author detailsRolesAuthorXiaowen Cao
Show author detailsRolesAuthorYuying Huang
Show author detailsRolesAuthorPeijie Xie
Show author detailsRolesContributorMary Lesperance
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 260 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 3,309 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 25, 2024 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
- Depends5 packages
- Suggests4 packages
- Reverse Imports1 package
- Reverse Suggests1 package