Package: rmlnomogram
Title: Construct Explainable Nomogram for a Machine Learning Model
Version: 0.1.2
Authors@R: 
  c(person(
      given = "Herdiantri"
      ,family = "Sufriyana"
      ,email = "herdi@nycu.edu.tw"
      ,role = c("aut", "cre")
      ,comment = c(ORCID = "0000-0001-9178-0222")
    )
    ,person(
      given = "Emily Chia-Yu"
      ,family = "Su"
      ,email = "emily@nycu.edu.tw"
      ,role = c("aut")
      ,comment = c(ORCID = "0000-0003-4801-5159")
    )
  )
Description: Construct an explainable nomogram for a machine learning
        (ML) model to improve availability of an ML prediction model in
        addition to a computer application, particularly in a situation
        where a computer, a mobile phone, an internet connection, or
        the application accessibility are unreliable. This package
        enables a nomogram creation for any ML prediction models, which
        is conventionally limited to only a linear/logistic regression
        model. This nomogram may indicate the explainability value per
        feature, e.g., the Shapley additive explanation value, for each
        individual. However, this package only allows a nomogram
        creation for a model using categorical without or with single
        numerical predictors. Detailed methodologies and examples are
        documented in our vignette, available at
        <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.
Depends: R (>= 4.4)
Imports: dplyr, purrr, broom, stats, ggplot2, ggpubr, stringr, tidyr,
        utils
Suggests: tidyverse, knitr, caret, randomForest, iml, testthat (>=
        3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
LazyData: true
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-07-03 22:15:53 UTC; root
Author: Herdiantri Sufriyana [aut, cre]
        (<https://orcid.org/0000-0001-9178-0222>), Emily Chia-Yu Su
        [aut] (<https://orcid.org/0000-0003-4801-5159>)
Maintainer: Herdiantri Sufriyana <herdi@nycu.edu.tw>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-01-08 16:40:02 UTC
RemoteUrl: https://github.com/cran/rmlnomogram
RemoteRef: HEAD
RemoteSha: 46323e9840bb0e5b3200f02512b953efbf74b526