Iscores
Proper Scoring Rules for Missing Value Imputation
Implementation of a KL-based scoring rule to assess the quality of different missing value imputations in the broad sense as introduced in Michel et al. (2021) doi:10.48550/arXiv.2106.03742.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release01/05/2022
Documentation
Team
Loris Michel
Meta-Lina Spohn
Jeffrey Naef
Insights
Last 30 days
This package has been downloaded 171 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 1 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 2,360 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 23, 2024 with 27 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