Package: catch
Title: Covariate-Adjusted Tensor Classification in High-Dimensions
Version: 1.0.1
Description: 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.
Depends: R (>= 3.1.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: tensr, Matrix, MASS, methods
NeedsCompilation: yes
Packaged: 2026-09-16 11:22:17 UTC; root
Author: Yuqing Pan <yuqing.pan@stat.fsu.edu>, Qing Mai
        <mai@stat.fsu.edu>, Xin Zhang <henry@stat.fsu.edu>
Maintainer: Yuqing Pan <yuqing.pan@stat.fsu.edu>
Repository: https://yuqingxx.r-universe.dev
Date/Publication: 2021-01-04 16:10:02 UTC
RemoteUrl: https://github.com/cran/catch
RemoteRef: HEAD
RemoteSha: 6bf45e82eaa2069c4e4dd077e24bc8403d4140be