PFLR
Estimating Penalized Functional Linear Regression
Implementation of commonly used penalized functional linear regression models, including the Smooth and Locally Sparse (SLoS) method by Lin et al. (2016) doi:10.1080/10618600.2016.1195273, Nested Group bridge Regression (NGR) method by Guan et al. (2020) doi:10.1080/10618600.2020.1713797, Functional Linear Regression That's interpretable (FLIRTI) by James et al. (2009) doi:10.1214/08-AOS641, and the Penalized B-spline regression method.
- Version1.1.0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release08/22/2024
Team
Haolun Shi
Tianyu Guan
Show author detailsRolesAuthorRob Cameron
Show author detailsRolesAuthorZhenhua Lin
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 137 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 4 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 1,533 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 Aug 23, 2024 with 43 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
- Imports5 packages