Package: catch 1.0.1
Yuqing Pan
catch: Covariate-Adjusted Tensor Classification in High-Dimensions
Performs classification and variable selection on high-dimensional tensors (multi-dimensional arrays) after adjusting for additional covariates (scalar or vectors) as CATCH model in Pan, Mai and Zhang (2018) <arxiv:1805.04421>. The low-dimensional covariates and the high-dimensional tensors are jointly modeled to predict a categorical outcome in a multi-class discriminant analysis setting. The Covariate-Adjusted Tensor Classification in High-dimensions (CATCH) model is fitted in two steps: (1) adjust for the covariates within each class; and (2) penalized estimation with the adjusted tensor using a cyclic block coordinate descent algorithm. The package can provide a solution path for tuning parameter in the penalized estimation step. Special case of the CATCH model includes linear discriminant analysis model and matrix (or tensor) discriminant analysis without covariates.
Authors:
catch_1.0.1.tar.gz
catch_1.0.1.tar.gz(r-4.5-noble)catch_1.0.1.tar.gz(r-4.4-noble)
catch_1.0.1.tgz(r-4.4-emscripten)catch_1.0.1.tgz(r-4.3-emscripten)
catch.pdf |catch.html✨
catch/json (API)
| # Install 'catch' in R: |
| install.packages('catch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- csa - Colorimetric sensor array (CSA) data
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:6bf45e82ea. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 28 2024 |
| R-4.5-linux-x86_64 | OK | Sep 28 2024 |
Exports:adjtencatchcatch_matrixcv.catchpredict.catch
Dependencies:assertthatlatticeMASSMatrixtensr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjust tensor for covariates. | adjten |
| Fit a CATCH model and predict categorical response. | catch |
| Fit a CATCH model for matrix and predict categorical response. | catch_matrix |
| Colorimetric sensor array (CSA) data | csa |
| Cross-validation for CATCH | cv.catch |
| Predict categorical responses. | predict.catch |
