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ParallelPC  

Paralellised Versions of Constraint Based Causal Discovery Algorithms
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ParallelPC")
Maintained by
Thuc Duy Le
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-01
Latest Update: 2015-12-31
Description:
Parallelise constraint based causality discovery and causal inference methods. The parallelised algorithms in the package will generate the same results as that of the 'pcalg' package but will be much more efficient.
How to cite:
Thuc Duy Le (2015). ParallelPC: Paralellised Versions of Constraint Based Causal Discovery Algorithms. R package version 1.2, https://cran.r-project.org/web/packages/ParallelPC. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2015-10-01 23:53), 1.1 (2015-10-03 01:08)
Other packages that cited ParallelPC R package
View ParallelPC citation profile
Other R packages that ParallelPC depends, imports, suggests or enhances
Complete documentation for ParallelPC
Functions, R codes and Examples using the ParallelPC R package
Some associated functions: IDA_parallel . IDA_stable . cor2 . fci_parallel . fci_stable . jointIDA_direct . jointIDA_parallel . mccor . mcmig . mczf . mig . migsh . pcSelect_parallel . pcSelect_stable . pc_parallel . pc_stable . rfci_parallel . rfci_stable . skeleton_parallel . skeleton_stable . smccor . smcmig . smczf . zf . 
Some associated R codes: ParallelPC.R .  Full ParallelPC package functions and examples
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