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
PFLR_1.1.0.zip(r-4.7-any)PFLR_1.1.0.zip(r-4.6-any)PFLR_1.1.0.zip(r-4.5-any)
PFLR_1.1.0.tgz(r-4.6-any)PFLR_1.1.0.tgz(r-4.5-any)
PFLR_1.1.0.tar.gz(r-4.7-any)PFLR_1.1.0.tar.gz(r-4.6-any)
PFLR_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PFLR/json (API)

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

On CRAN:

Conda:

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

1.00 score 235 downloads 5 exports 57 dependencies

Last updated from:a703ffeabb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK185
linux-release-x86_64OK173
macos-release-arm64OK122
macos-oldrel-arm64OK127
windows-develOK113
windows-releaseOK143
windows-oldrelOK116
wasm-releaseOK142

Exports:FLiRTIngrngr.data.generator.bsplinesPenSSLoS

Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvefarverfdafdsflareFNNforeachggplot2glmnetglueGPArotationgtablehdrcdeigraphisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmnormtmulticoolmvtnormnlmepcaPPpkgconfigpracmapsychR6rainbowRColorBrewerRcppRcppEigenRCurlrlangS7scalesshapesurvivalvctrsviridisLitewithr