Package: xspliner
Title: Assisted Model Building, using Surrogate Black-Box Models to
        Train Interpretable Spline Based Additive Models
Version: 0.0.4
Authors@R: c(
  person("Krystian", "Igras", email = "krystian8207@gmail.com", role = c("aut", "cre")),
  person("Przemyslaw", "Biecek", role =  c("aut", "ths")))
Description: Builds generalized linear model with automatic data transformation. 
  The 'xspliner' helps to build simple, interpretable models that inherits informations provided by more complicated ones.
  The resulting model may be treated as explanation of provided black box, that was supplied prior to the algorithm.
Depends: R (>= 3.0)
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: stats, pdp, dplyr, ggplot2, mgcv, magrittr, purrr, tidyr, pROC
        (>= 1.15.3)
Suggests: ALEPlot, factorMerger, testthat, knitr, rmarkdown,
        ResourceSelection, randomForest, e1071, caret, breakDown,
        DALEX, xgboost, gridExtra, grid, ISLR
VignetteBuilder: knitr
URL: https://ModelOriented.github.io/xspliner/
BugReports: https://github.com/ModelOriented/xspliner/issues
NeedsCompilation: no
Packaged: 2019-09-24 21:12:57 UTC; krystian
Author: Krystian Igras [aut, cre],
  Przemyslaw Biecek [aut, ths]
Maintainer: Krystian Igras <krystian8207@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-25 20:20:02 UTC
Built: R 4.0.2; ; 2020-07-17 11:44:35 UTC; unix
