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
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- Imports5 packages