fcr
Functional Concurrent Regression for Sparse Data
Dynamic prediction in functional concurrent regression with an application to child growth. Extends the pffr() function from the 'refund' package to handle the scenario where the functional response and concurrently measured functional predictor are irregularly measured. Leroux et al. (2017), Statistics in Medicine, doi:10.1002/sim.7582.
- Version1.0
- R version≥ 3.2.4
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/13/2018
Documentation
Team
Andrew Leroux
Luo Xiao
Show author detailsRolesAuthor, MaintainerCiprian Crainiceanu
Show author detailsRolesAuthorWilliam Checkly
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 140 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 1,724 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 11, 2024 with 21 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
- Depends3 packages
- Suggests2 packages