Package: fdaSP 1.1.3
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_1.1.3.tar.gz
fdaSP_1.1.3.zip(r-4.7-x86_64)fdaSP_1.1.3.zip(r-4.6-x86_64)fdaSP_1.1.3.zip(r-4.5-x86_64)
fdaSP_1.1.3.tgz(r-4.6-x86_64)fdaSP_1.1.3.tgz(r-4.6-arm64)fdaSP_1.1.3.tgz(r-4.5-x86_64)fdaSP_1.1.3.tgz(r-4.5-arm64)
fdaSP_1.1.3.tar.gz(r-4.7-arm64)fdaSP_1.1.3.tar.gz(r-4.7-x86_64)fdaSP_1.1.3.tar.gz(r-4.6-arm64)fdaSP_1.1.3.tar.gz(r-4.6-x86_64)
fdaSP_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
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:7653522b5c. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 240 | ||
| linux-devel-x86_64 | OK | 259 | ||
| source / vignettes | OK | 409 | ||
| linux-release-arm64 | OK | 223 | ||
| linux-release-x86_64 | OK | 264 | ||
| macos-release-arm64 | OK | 313 | ||
| macos-release-x86_64 | OK | 626 | ||
| macos-oldrel-arm64 | OK | 308 | ||
| macos-oldrel-x86_64 | OK | 570 | ||
| windows-devel-x86_64 | OK | 283 | ||
| windows-release-x86_64 | OK | 268 | ||
| windows-oldrel-x86_64 | OK | 263 | ||
| wasm-release | OK | 176 |
Exports:confbandf2fSPf2fSP_cvf2sSPf2sSP_cvforward_difflmSPlmSP_cvsofthresh
Dependencies:backportscheckmateclarabelclicodetoolsCVXRdoParallelFNNforeachgmphighsiteratorskernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmeosqppracmarbibutilsRcppRcppArmadilloRcppEigenRdpackS7scsslam
