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SCCI  

Stochastic Complexity-Based Conditional Independence Test for Discrete Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCCI", "1.2")



Attach the package and use:
library("SCCI")
Maintained by
Alexander Marx
[Scholar Profile | Author Map]
First Published: 2019-03-01
Latest Update: 2019-06-04
Description:
An efficient implementation of SCCI using 'Rcpp'. SCCI is short for the Stochastic Complexity-based Conditional Independence criterium (Marx and Vreeken, 2019). SCCI is an asymptotically unbiased and L2 consistent estimator of (conditional) mutual information for discrete data.
How to cite:
Alexander Marx (2019). SCCI: Stochastic Complexity-Based Conditional Independence Test for Discrete Data. R package version 1.2, https://cran.r-project.org/web/packages/SCCI. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.0 (2019-03-01 14:30), 1.1 (2019-05-24 11:40)
Other packages that cited SCCI R package
View SCCI citation profile
Other R packages that SCCI depends, imports, suggests or enhances
Complete documentation for SCCI
Functions, R codes and Examples using the SCCI R package
Some associated functions: SCCI . conditionalShannonEntropy . conditionalStochasticComplexity . pSCCI . regret . shannonEntropy . stochasticComplexity . 
Some associated R codes: sc.R .  Full SCCI package functions and examples
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