Package: visualpred
Title: Visualization 2D of Binary Classification Models
Version: 0.1.2
Authors@R: 
    person(given = "Javier",
           family = "Portela",
           role = c("aut", "cre"),
           email = "javipgm@gmail.com",
		   comment = c(ORCID = "0000-0002-5284-5123"))
Description: Visual contour and 2D point and contour plots for binary
        classification modeling under algorithms such as 'glm', 'rf',
        'gbm', 'nnet' and 'svm', presented over two dimensions
        generated by 'famd' and 'mca' methods. Package 'FactoMineR' for
        multivariate reduction functions and package 'MBA' for
        interpolation functions are used. The package can be used to
        visualize the discriminant power of input variables and
        algorithmic modeling, explore outliers, compare algorithm
        behaviour, etc. It has been created initially for teaching
        purposes, but it has also many practical uses under the 'XAI'
        paradigm.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: gbm, randomForest, nnet (>= 7.3.12), e1071, MASS (>=
        7.3.51.4), magrittr, FactoMineR (>= 2.3), ggplot2 (>= 3.3.0),
        mltools, dplyr, data.table, MBA, pROC, ggrepel
Suggests: knitr, markdown,egg
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Maintainer: Javier Portela <javipgm@gmail.com>
Packaged: 2026-06-16 09:01:41 UTC; root
Author: Javier Portela [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-5284-5123>)
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-19 12:54:47 UTC
RemoteUrl: https://github.com/cran/visualpred
RemoteRef: HEAD
RemoteSha: aa1545adf7f7347f37aa928436dfd1752277fccc