Package: fdaSP 1.1.2
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_1.1.2.tar.gz
fdaSP_1.1.2.zip(r-4.7)fdaSP_1.1.2.zip(r-4.6)fdaSP_1.1.2.zip(r-4.5)
fdaSP_1.1.2.tgz(r-4.6-x86_64)fdaSP_1.1.2.tgz(r-4.6-arm64)fdaSP_1.1.2.tgz(r-4.5-x86_64)fdaSP_1.1.2.tgz(r-4.5-arm64)
fdaSP_1.1.2.tar.gz(r-4.7-arm64)fdaSP_1.1.2.tar.gz(r-4.7-x86_64)fdaSP_1.1.2.tar.gz(r-4.6-arm64)fdaSP_1.1.2.tar.gz(r-4.6-x86_64)
fdaSP_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:71acad8cd1. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 326 | ||
| linux-devel-x86_64 | OK | 283 | ||
| source / vignettes | OK | 391 | ||
| linux-release-arm64 | OK | 330 | ||
| linux-release-x86_64 | OK | 247 | ||
| macos-release-arm64 | OK | 188 | ||
| macos-release-x86_64 | OK | 355 | ||
| macos-oldrel-arm64 | OK | 191 | ||
| macos-oldrel-x86_64 | OK | 387 | ||
| windows-devel | OK | 272 | ||
| windows-release | OK | 258 | ||
| windows-oldrel | OK | 255 | ||
| wasm-release | OK | 192 |
Exports:confbandf2fSPf2fSP_cvf2sSPf2sSP_cvforward_difflmSPlmSP_cvsofthresh
Dependencies:backportscheckmateclarabelclicodetoolsCVXRdoParallelFNNforeachgmphighsiteratorskernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmeosqppracmarbibutilsRcppRcppArmadilloRcppEigenRdpackS7scsslam
