Package: mlearning

Type: Package

Version: 1.2.2

Title: 'SciViews::R' - Machine Learning Algorithms with Unified Interface

Description: A unified interface is provided to various machine learning

algorithms like linear or quadratic discriminant analysis, k-nearest

neighbors, random forest, support vector machine, ... It allows to train,

test, and apply cross-validation using similar functions and function

arguments with a minimalist and clean, formula-based interface. Missing data

are processed the same way as base and stats R functions for all algorithms,

both in training and testing. Confusion matrices are also provided with a rich

set of metrics calculated and a few specific plots.

Authors@R: c(

person("Philippe", "Grosjean", role = c("aut", "cre"),

email = "[email protected]",

comment = c(ORCID = "0000-0002-2694-9471")),

person("Kevin", "Denis", role = "aut",

email = "[email protected]"))

Maintainer: Philippe Grosjean <[email protected]>

Depends:

R (>= 3.0.4)

Imports:

class (>= 7.3.23),

e1071 (>= 1.7.16),

grDevices (>= 3.0.4),

ipred (>= 0.9.15),

nnet (>= 7.3.20),

MASS (>= 7.3.65),

randomForest (>= 4.7.1.2),

rpart (>= 4.1.0),

stats (>= 3.0.4)

Suggests:

datasets (>= 3.0.4),

mlbench (>= 2.1.6),

RColorBrewer (>= 1.1.3),

covr (>= 3.5.0),

knitr (>= 1.42),

rmarkdown (>= 2.21),

spelling (>= 2.2.1),

testthat (>= 3.0.0)

License: GPL (>= 2)

URL: https://github.com/SciViews/mlearning, https://www.sciviews.org/mlearning/, https://sciviews.r-universe.dev/mlearning

BugReports: https://github.com/SciViews/mlearning/issues

Roxygen: list(markdown = TRUE)

RoxygenNote: 7.3.2

VignetteBuilder: knitr

Encoding: UTF-8

Language: en-US

ByteCompile: yes

Config/testthat/edition: 3