Package: fdaSP 1.1.1
fdaSP: Sparse Functional Data Analysis Methods
Provides algorithms to fit linear regression models under several popular penalization techniques and functional linear regression models based on Majorizing-Minimizing (MM) and Alternating Direction Method of Multipliers (ADMM) techniques. See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.
Authors:
fdaSP_1.1.1.tar.gz
fdaSP_1.1.1.zip(r-4.5)fdaSP_1.1.1.zip(r-4.4)fdaSP_1.1.1.zip(r-4.3)
fdaSP_1.1.1.tgz(r-4.4-x86_64)fdaSP_1.1.1.tgz(r-4.4-arm64)fdaSP_1.1.1.tgz(r-4.3-x86_64)fdaSP_1.1.1.tgz(r-4.3-arm64)
fdaSP_1.1.1.tar.gz(r-4.5-noble)fdaSP_1.1.1.tar.gz(r-4.4-noble)
fdaSP_1.1.1.tgz(r-4.4-emscripten)fdaSP_1.1.1.tgz(r-4.3-emscripten)
fdaSP.pdf |fdaSP.html✨
fdaSP/json (API)
| # Install 'fdaSP' in R: |
| install.packages('fdaSP', repos = c('https://maurobernardi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:95f90ec864. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win-x86_64 | OK | Oct 30 2024 |
| R-4.5-linux-x86_64 | OK | Oct 30 2024 |
| R-4.4-win-x86_64 | OK | Oct 30 2024 |
| R-4.4-mac-x86_64 | OK | Oct 30 2024 |
| R-4.4-mac-aarch64 | OK | Oct 30 2024 |
| R-4.3-win-x86_64 | OK | Oct 30 2024 |
| R-4.3-mac-x86_64 | OK | Oct 30 2024 |
| R-4.3-mac-aarch64 | OK | Oct 30 2024 |
Exports:confbandf2fSPf2fSP_cvf2sSPf2sSP_cvlmSPlmSP_cvsofthresh
Dependencies:codetoolsdoParallelFNNforeachiteratorskernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmarbibutilsRcppRcppArmadilloRdpack
