Estimating Penalized Functional Linear Regression R package PFLR version 1.1.0 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. Software Depends: R (>= 3.5.0) Imports: fda, MASS, flare, psych, glmnet, stats, utils Haolun Shi <shl2003@connect.hku.hk> Comprehensive R Archive Network (CRAN) Tianyu Guan [aut], Haolun Shi [aut, cre, cph], Rob Cameron [aut], Zhenhua Lin [aut] GPL-2 2024-08-22 application/tgz https://CRAN.R-project.org/package=PFLR doi:10.32614/CRAN.package.PFLR