DESCRIPTION

Package: cpi
Type: Package
Title: Conditional Predictive Impact
Version: 0.1.5
Date: 2024-11-05
Authors@R: 
    c(person(given = "Marvin N.",
             family = "Wright",
             role = c("aut", "cre"),
             email = "cran@wrig.de",
             comment = c(ORCID = "0000-0002-8542-6291")),
      person(given = "David S.",
             family = "Watson",
             role = "aut"))
Maintainer: Marvin N. Wright <cran@wrig.de>
Description: A general test for conditional independence in supervised learning 
  algorithms as proposed by Watson & Wright (2021) <doi:10.1007/s10994-021-06030-6>. 
  Implements a conditional variable importance measure which can be applied to any supervised 
  learning algorithm and loss function. Provides statistical inference procedures without 
  parametric assumptions and applies equally well to continuous and categorical predictors 
  and outcomes.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/bips-hb/cpi,
    https://bips-hb.github.io/cpi/
BugReports: https://github.com/bips-hb/cpi/issues
Imports: foreach, mlr3, lgr, knockoff
Suggests: 
    mlr3learners,
    ranger,
    glmnet,
    testthat (>= 3.0.0),
    knitr,
    rmarkdown,
    doParallel
Config/testthat/edition: 3
VignetteBuilder: knitr