Package: TULIP 1.0.2
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:
TULIP_1.0.2.tar.gz
TULIP_1.0.2.zip(r-4.5)TULIP_1.0.2.zip(r-4.4)TULIP_1.0.2.zip(r-4.3)
TULIP_1.0.2.tgz(r-4.4-x86_64)TULIP_1.0.2.tgz(r-4.4-arm64)TULIP_1.0.2.tgz(r-4.3-x86_64)TULIP_1.0.2.tgz(r-4.3-arm64)
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 = c('https://yuqingxx.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 4 years agofrom:0b771e74a2. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win-x86_64 | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
R-4.4-win-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-aarch64 | OK | Nov 19 2024 |
R-4.3-win-x86_64 | OK | Nov 19 2024 |
R-4.3-mac-x86_64 | OK | Nov 19 2024 |
R-4.3-mac-aarch64 | OK | Nov 19 2024 |
Exports:adjtenadjveccatchcatch_matrixcv.catchcv.dsdacv.msdacv.SeSDAdsdadsda.allgetnormmsdapredict.catchpredict.dsdapredict.msdapredict.SeSDAROADSeSDAsim.bi.vectorsim.tensor.covSOS
Dependencies:assertthatcodetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvivaltensr