PFLR: Estimating Penalized Functional Linear Regression (original) (raw)

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.

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=PFLRto link to this page.