Package: fdaSP 1.1.3

Mauro Bernardi

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:Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]

fdaSP_1.1.3.tar.gz
fdaSP_1.1.3.zip(r-4.7-x86_64)fdaSP_1.1.3.zip(r-4.7-arm64)fdaSP_1.1.3.zip(r-4.6-x86_64)fdaSP_1.1.3.zip(r-4.6-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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

1.30 score 313 downloads 9 exports 32 dependencies

Last updated from:7653522b5c. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK243
linux-devel-x86_64OK239
source / vignettesOK411
linux-release-arm64OK210
linux-release-x86_64OK246
windows-devel-arm64OK328
windows-devel-x86_64OK268
windows-release-arm64OK303
windows-release-x86_64OK274
wasm-releaseOK155

Exports:confbandf2fSPf2fSP_cvf2sSPf2sSP_cvforward_difflmSPlmSP_cvsofthresh

Dependencies:backportscheckmateclarabelclicodetoolsCVXRdoParallelFNNforeachgmphighsiteratorskernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmeosqppracmarbibutilsRcppRcppArmadilloRcppEigenRdpackS7scsslam