Package: TULIP 1.0.2

Yuqing Pan

TULIP: A Toolbox for Linear Discriminant Analysis with Penalties

Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arxiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.

Authors:Yuqing Pan <yuqing.pan@stat.fsu.edu>, Qing Mai <mai@stat.fsu.edu>, Xin Zhang <henry@stat.fsu.edu>

TULIP_1.0.2.tar.gz
TULIP_1.0.2.tar.gz(r-4.5-noble)TULIP_1.0.2.tar.gz(r-4.4-noble)
TULIP_1.0.2.tgz(r-4.4-emscripten)TULIP_1.0.2.tgz(r-4.3-emscripten)
TULIP.pdf |TULIP.html✨
TULIP/json (API)

# Install 'TULIP' in R:
install.packages('TULIP', repos = 'https://cloud.r-project.org')
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • GDS1615 - GDS1615 data introduced in Burczynski et al. (2012).
  • csa - Colorimetric sensor array (CSA) data

On CRAN:

Conda:

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

fortran

2.00 score 135 downloads 20 mentions 21 exports 13 dependencies

Last updated 4 years agofrom:0b771e74a2. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-linux-x86_64OKMar 23 2025
R-4.4-linux-x86_64OKMar 23 2025

Exports:adjtenadjveccatchcatch_matrixcv.catchcv.dsdacv.msdacv.SeSDAdsdadsda.allgetnormmsdapredict.catchpredict.dsdapredict.msdapredict.SeSDAROADSeSDAsim.bi.vectorsim.tensor.covSOS

Dependencies:assertthatcodetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvivaltensr

Citation

To cite package ‘TULIP’ in publications use:

Pan Y, Mai Q, Zhang X (2021). TULIP: A Toolbox for Linear Discriminant Analysis with Penalties. R package version 1.0.2, https://CRAN.R-project.org/package=TULIP.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {TULIP: A Toolbox for Linear Discriminant Analysis with
      Penalties},
    author = {Yuqing Pan and Qing Mai and Xin Zhang},
    year = {2021},
    note = {R package version 1.0.2},
    url = {https://CRAN.R-project.org/package=TULIP},
  }