Package: PFLR 1.1.0

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.

Authors:Tianyu Guan [aut], Haolun Shi [aut, cre, cph], Rob Cameron [aut], Zhenhua Lin [aut]

PFLR_1.1.0.tar.gz
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PFLR.pdf |PFLR.html✨
PFLR/json (API)

# Install 'PFLR' in R:
install.packages('PFLR', repos = c('https://haoluns.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • truck - Truck emissions data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 144 downloads 5 exports 61 dependencies

Last updated 3 months agofrom:a703ffeabb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:FLiRTIngrngr.data.generator.bsplinesPenSSLoS

Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvefansifarverfdafdsflareFNNforeachggplot2glmnetglueGPArotationgtablehdrcdeigraphisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmnormtmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmapsychR6rainbowRColorBrewerRcppRcppEigenRCurlrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr