Package: FRESHD 1.0

Adam Lund

FRESHD: Fast Robust Estimation of Signals in Heterogeneous Data

Procedure for solving the maximin problem for identical design across heterogeneous data groups. Particularly efficient when the design matrix is either orthogonal or has tensor structure. Orthogonal wavelets can be specified for 1d, 2d or 3d data simply by name. For tensor structured design the tensor components (two or three) may be supplied. The package also provides an efficient implementation of the generic magging estimator.

Authors:Adam Lund [aut, cre, ctb, cph], Benjamin Stephens [ctb, cph], Gael Guennebaud [ctb, cph], Angelo Furfaro [ctb, cph], Luca Di Gaspero [ctb, cph], Brandon Whitcher [ctb, cph]

FRESHD_1.0.tar.gz
FRESHD_1.0.tar.gz(r-4.5-noble)FRESHD_1.0.tar.gz(r-4.4-noble)
FRESHD_1.0.tgz(r-4.4-emscripten)FRESHD_1.0.tgz(r-4.3-emscripten)
FRESHD.pdf |FRESHD.html✨
FRESHD/json (API)

# Install 'FRESHD' in R:
install.packages('FRESHD', repos = '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-Forge:

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

openblascppopenmp

1.00 score 171 downloads 5 exports 4 dependencies

Last updated 3 years agofrom:62d6c26fa0. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-linux-x86_64NOTEFeb 18 2025

Exports:iwtmaggingmaximinRHwt

Dependencies:glamlassoRcppRcppArmadilloRcppEigen

Citation

To cite package ‘FRESHD’ in publications use:

Lund A (2022). FRESHD: Fast Robust Estimation of Signals in Heterogeneous Data. R package version 1.0, https://CRAN.R-project.org/package=FRESHD.

Corresponding BibTeX entry: 

  @Manual{,
    title = {FRESHD: Fast Robust Estimation of Signals in Heterogeneous
      Data},
    author = {Adam Lund},
    year = {2022},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=FRESHD},
  }