krm
Kernel Based Regression Models
Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence. This package is described in Fong et al. (2015) doi:10.1093/biostatistics/kxu056.
- Version2022.10-17
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release10/18/2022
Documentation
Team
Youyi Fong
Saheli Datta
Show author detailsRolesAuthorKrisztian Sebestyen
Show author detailsRolesAuthorSteve Park
Show author detailsRolesContributorDave Geyer
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 213 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 6 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 3,213 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 Jan 22, 2025 with 46 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.
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Dependencies
- Depends1 package
- Suggests2 packages