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:
PFLR_1.1.0.tar.gz
PFLR_1.1.0.zip(r-4.5)PFLR_1.1.0.zip(r-4.4)PFLR_1.1.0.zip(r-4.3)
PFLR_1.1.0.tgz(r-4.4-any)PFLR_1.1.0.tgz(r-4.3-any)
PFLR_1.1.0.tar.gz(r-4.5-noble)PFLR_1.1.0.tar.gz(r-4.4-noble)
PFLR_1.1.0.tgz(r-4.4-emscripten)PFLR_1.1.0.tgz(r-4.3-emscripten)
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')) |
- truck - Truck emissions data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 26 days agofrom:a703ffeabb. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 23 2024 |
| R-4.5-win | OK | Aug 23 2024 |
| R-4.5-linux | OK | Aug 23 2024 |
| R-4.4-win | OK | Aug 23 2024 |
| R-4.4-mac | OK | Aug 23 2024 |
| R-4.3-win | OK | Aug 23 2024 |
| R-4.3-mac | OK | Aug 23 2024 |
Exports:FLiRTIngrngr.data.generator.bsplinesPenSSLoS
Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvefansifarverfdafdsflareFNNforeachggplot2glmnetglueGPArotationgtablehdrcdeigraphisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmnormtmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmapsychR6rainbowRColorBrewerRcppRcppEigenRCurlrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| FLiRTI Regression Model | FLiRTI |
| Nested Group Bridge Regression Model | ngr |
| Generating random curves from B-Splines | ngr.data.generator.bsplines |
| Penalized B-splines Regression Model | PenS |
| Plot Method for flirti Objects | plot.flirti |
| Plot Method for ngr Objects | plot.ngr |
| Plot Method for Penalized B-splines Objects | plot.ps |
| Plot Method for SLoS Objects | plot.slos |
| Predict Method for flirti Objects | predict.flirti |
| Predict Method for ngr Objects | predict.ngr |
| Predict Method for Penalized B-splines objects | predict.ps |
| Predict Method for SLoS objects | predict.slos |
| SLoS regression Model | SLoS |
| Summary Method for flirti Objects | summary.flirti |
| Summary Method for ngr Objects | summary.ngr |
| Summary Method for Penalized B-splines Objects | summary.ps |
| Summary Method for SLoS Objects | summary.slos |
| Truck emissions data | truck |
