Package: robflreg 1.2

robflreg: Robust Functional Linear Regression

Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <arxiv:2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <arxiv:2203.05065>.

Authors:Ufuk Beyaztas [aut, cre, cph], Han Lin Shang [aut]

robflreg_1.2.tar.gz
robflreg_1.2.zip(r-4.5)robflreg_1.2.zip(r-4.4)robflreg_1.2.zip(r-4.3)
robflreg_1.2.tgz(r-4.4-any)robflreg_1.2.tgz(r-4.3-any)
robflreg_1.2.tar.gz(r-4.5-noble)robflreg_1.2.tar.gz(r-4.4-noble)
robflreg_1.2.tgz(r-4.4-emscripten)robflreg_1.2.tgz(r-4.3-emscripten)
robflreg.pdf |robflreg.html
robflreg/json (API)

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

Peer review:

Datasets:

On CRAN:

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

13 exports 0.09 score 68 dependencies 6 scripts 308 downloads

Last updated 8 months agofrom:f1172bdcfe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:generate.ff.datagenerate.sf.dataget.ff.coeffsget.sf.coeffsgetPCAgetPCA.testplot_ff_coeffsplot_sf_coeffspredict_ff_regressionpredict_sf_regressionrob.ff.regrob.out.detectrob.sf.reg

Dependencies:ashbitopscliclustercodetoolscolorspaceDEoptimRdeSolvedoParalleldotCall64expmfansifarverfdafda.uscfdsfieldsFNNforeachggplot2glmnetgluegoffdagtablehdrcdeisobanditeratorskernlabKernSmoothkskSampleslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangrobustbasescalesshapespamSuppDistssurvivaltibbleutf8vctrsviridisLitewithr