DESCRIPTION

Package: tidyrules
Type: Package
Title: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data
Version: 0.2.7
Authors@R: c(
    person("Srikanth", "Komala Sheshachala", email = "sri.teach@gmail.com", role = c("aut", "cre")),
    person("Amith Kumar", "Ullur Raghavendra", email = "amith54@gmail.com", role = c("aut"))
    )
Maintainer: Srikanth Komala Sheshachala <sri.teach@gmail.com>
Depends: R (>= 3.6.0),
Imports:
    stringr (>= 1.3.1),
    magrittr (>= 1.5),
    purrr (>= 0.3.2),
    partykit (>= 1.2.2),
    rlang (>= 1.1.3),
    generics (>= 0.1.3),
    checkmate (>= 2.3.1),
    tidytable (>= 0.11.0),
    data.table (>= 1.14.6),
    DescTools (>= 0.99.54),
    MetricsWeighted (>= 1.0.3),
    cli (>= 3.6.2),
    glue (>= 1.7.0),
    pheatmap (>= 1.0.12),
    proxy (>= 0.4.27),
    tibble (>= 3.2.1),
Suggests:
    AmesHousing (>= 0.0.3),
    dplyr (>= 0.8),
    C50 (>= 0.1.2),
    Cubist (>= 0.2.2),
    rpart (>= 1.2.2),
    rpart.plot (>= 3.0.7),
    modeldata (>= 0.0.1),
    testthat (>= 2.0.1),
    MASS (>= 7.3.50),
    mlbench (>= 2.1.1),
    rmarkdown (>= 1.13),
    palmerpenguins (>= 0.1.1),
Description: Provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.
URL: https://github.com/talegari/tidyrules, https://talegari.github.io/tidyrules/
BugReports: https://github.com/talegari/tidyrules/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Roxygen: list(markdown = TRUE)