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 138 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 1,524 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 Aug 23, 2024 with 43 downloads.
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Dependencies
- Imports5 packages