cvms
Cross-Validation for Model Selection
Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
- Version1.6.3
- R versionR (≥ 3.5)
- LicenseMIT
- Needs compilation?No
- Last release01/14/2025
Documentation
Team
Ludvig Renbo Olsen
MaintainerShow author detailsIndrajeet Patil
Daniel Lüdecke
Hugh Benjamin Zachariae
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,766 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 54 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 18,215 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Aug 01, 2024 with 148 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
- Imports18 packages
- Suggests14 packages
- Reverse Imports2 packages