Package: TSLA
Type: Package
Title: Tree-Guided Rare Feature Selection and Logic Aggregation
Version: 0.1.2
Authors@R: c(person("Jianmin", "Chen", role = c("aut", "cre"), email = "jianminc000@gmail.com"), person("Kun", "Chen", role = "aut"))
Imports: stats, Matrix, Rcpp, pROC, PRROC, ape, phytools, data.tree
LinkingTo: Rcpp, RcppArmadillo
Maintainer: Jianmin Chen <jianminc000@gmail.com>
Description: Implementation of the tree-guided feature selection and
        logic aggregation approach introduced in Chen et al. (2024)
        <doi:10.1080/01621459.2024.2326621>. The method enables the
        selection and aggregation of large-scale rare binary features
        with a known hierarchical structure using a convex,
        linearly-constrained regularized regression framework. The
        package facilitates the application of this method to both
        linear regression and binary classification problems by solving
        the optimization problem via the smoothing proximal gradient
        descent algorithm (Chen et al. (2012)
        <doi:10.1214/11-AOAS514>).
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2026-10-06 09:06:53 UTC; root
Author: Jianmin Chen [aut, cre], Kun Chen [aut]
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev
Repository: https://jianminc.r-universe.dev
Date/Publication: 2025-03-17 20:20:05 UTC
RemoteUrl: https://github.com/cran/TSLA
RemoteRef: HEAD
RemoteSha: 58c26c44fd6f947cb8a4f2bdbc6d5623e6524440