Other packages > Find by keyword >

semiArtificial  

Generator of Semi-Artificial Data
View on CRAN: Click here


Download and install semiArtificial package within the R console
Install from CRAN:
install.packages("semiArtificial")

Install from Github:
library("remotes")
install_github("cran/semiArtificial")

Install by package version:
library("remotes")
install_version("semiArtificial", "2.4.1")



Attach the package and use:
library("semiArtificial")
Maintained by
Marko Robnik-Sikonja
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-26
Latest Update: 2021-09-23
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.
How to cite:
Marko Robnik-Sikonja (2014). semiArtificial: Generator of Semi-Artificial Data. R package version 2.4.1, https://cran.r-project.org/web/packages/semiArtificial. Accessed 27 Jun. 2026.
Previous versions and publish date:
1.1.0 (2014-02-26 00:44), 1.2.0 (2014-03-17 20:36), 2.0.1 (2015-09-04 01:11), 2.2.4 (2017-03-26 18:12), 2.2.5 (2017-03-31 08:13), 2.3.1 (2019-05-31 23:30)
Other packages that cited semiArtificial R package
View semiArtificial citation profile
Other R packages that semiArtificial depends, imports, suggests or enhances
Complete documentation for semiArtificial
Functions, R codes and Examples using the semiArtificial R package
Some associated functions: cleanData . dataSimilarity . dsClustCompare . newdata . performanceCompare . rbfDataGen . semiArtificial-package . treeEnsemble . 
Some associated R codes: dataQuality.R . densityTree.R . forestDataGen.R . init.R . misc.R . rbfDataGen.R . rndtrees.R .  Full semiArtificial package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AzureKeyVault  
Key and Secret Management in 'Azure'
Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: ...
Download / Learn more Package Citations See dependency  
PeakSegOptimal  
Optimal Segmentation Subject to Up-Down Constraints
Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subj ...
Download / Learn more Package Citations See dependency  
assert  
Validate Function Arguments
Lightweight validation tool for checking function arguments and validating data analysis scripts. T ...
Download / Learn more Package Citations See dependency  
AHSurv  
Flexible Parametric Accelerated Hazards Models
Flexible parametric Accelerated Hazards (AH) regression models in overall and relative survival fram ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA