fdaMixed
Functional Data Analysis in a Mixed Model Framework
Likelihood based analysis of 1-dimension functional data in a mixed-effects model framework. Matrix computation are approximated by semi-explicit operator equivalents with linear computational complexity. Markussen (2013) doi:10.3150/11-BEJ389.
- Version0.6.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release09/13/2023
Team
Bo Markussen
Insights
Last 30 days
This package has been downloaded 184 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 2,909 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 33 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
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Dependencies
- Imports2 packages
- Linking To2 packages