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semiArtificial

Generator of Semi-Artificial Data

v2.4.1 · Sep 23, 2021 · GPL-3

Description

Contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.

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CRAN incoming feasibility

Maintainer: ‘Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>’

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NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>’

No Authors@R field in DESCRIPTION.
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  Authors@R: person(given = "Marko",
                    family = "Robnik-Sikonja",
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                    email = "marko.robnik@fri.uni-lj.si")
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Marko",
                    family = "Robnik-Sikonja",
                    role = c("aut", "cre"),
                    email = "marko.robnik@fri.uni-lj.si")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Marko",
                    family = "Robnik-Sikonja",
                    role = c("aut", "cre"),
                    email = "marko.robnik@fri.uni-lj.si")
as necessary.

Dependency Network

Dependencies Reverse dependencies CORElearn (>= 1.50.3) RSNNS MASS nnet cluster fpc timeDate robustbase ks logspline mcclust flexclust StatMatch semiArtificial

Version History

new 2.4.1 Mar 10, 2026
updated 2.4.1 ← 2.3.1 diff Sep 22, 2021
updated 2.3.1 ← 2.2.5 diff May 30, 2019
updated 2.2.5 ← 2.2.4 diff Mar 30, 2017
updated 2.2.4 ← 2.0.1 diff Mar 25, 2017
updated 2.0.1 ← 1.2.0 diff Sep 3, 2015
updated 1.2.0 ← 1.1.0 diff Mar 16, 2014
new 1.1.0 Feb 25, 2014