Package: CovRegRF
Type: Package
Title: Covariance Regression with Random Forests
Version: 2.0.1
Authors@R: 
    c(person(given = "Cansu", family = "Alakus", role = c("aut", "cre"), email = "cansu.alakus@hec.ca"),
      person(given = "Denis", family = "Larocque", role = c("aut"), email = "denis.larocque@hec.ca"),
      person(given = "Aurelie", family = "Labbe", role = c("aut"), email = "aurelie.labbe@hec.ca"),
      person(given = "Hemant", family = "Ishwaran", role = c("ctb"), comment = "Author of included 'randomForestSRC' codes"),
      person(given = "Udaya B.", family = "Kogalur", role = c("ctb"), comment = "Author of included 'randomForestSRC' codes"),
      person("Intel Corporation", role = c("cph"), comment = "Copyright holder of included LAPACKE codes"),
      person(given = "Keita", family = "Teranishi", role = c("ctb"), comment = "Author of included cblas_dgemm.c codes"))
Description: Covariance Regression with Random Forests (CovRegRF) is a
    random forest method for estimating the covariance matrix of a
    multivariate response given a set of covariates. Random forest trees
    are built with a new splitting rule which is designed to maximize the
    distance between the sample covariance matrix estimates of the child
    nodes. The method is described in Alakus et al. (2023)
    <doi:10.1186/s12859-023-05377-y>. 'CovRegRF' uses 'randomForestSRC' package
    (Ishwaran and Kogalur, 2022) 
    <https://cran.r-project.org/package=randomForestSRC> by freezing at the
    version 3.1.0. The custom splitting rule feature is utilised to apply the
    proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' 
    by default, contingent upon the support provided by the target architecture 
    and operating system. In this package, 'LAPACK' and 'BLAS' libraries are 
    used for matrix decompositions.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
Imports: data.table, data.tree, DiagrammeR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-10 02:17:14 UTC; cansualakus
Author: Cansu Alakus [aut, cre],
  Denis Larocque [aut],
  Aurelie Labbe [aut],
  Hemant Ishwaran [ctb] (Author of included 'randomForestSRC' codes),
  Udaya B. Kogalur [ctb] (Author of included 'randomForestSRC' codes),
  Intel Corporation [cph] (Copyright holder of included LAPACKE codes),
  Keita Teranishi [ctb] (Author of included cblas_dgemm.c codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2024-07-15 18:40:11 UTC
