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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.
Getting started
Browse package contents
Package details |
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| Author | Tianyu Guan [aut], Haolun Shi [aut, cre, cph], Rob Cameron [aut], Zhenhua Lin [aut] |
| Maintainer | Haolun Shi <shl2003@connect.hku.hk> |
| License | GPL-2 |
| Version | 1.1.0 |
| Package repository | View on CRAN |
| Installation |
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