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: 2025-10-19 11:40:46 UTC; TrendingPC
Author: Javier Portela [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5284-5123>)
Repository: CRAN
Date/Publication: 2025-10-19 12:00:02 UTC
Built: R 4.6.0; ; 2025-10-19 15:11:29 UTC; unix
