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backShift  

Learning Causal Cyclic Graphs from Unknown Shift Interventions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("backShift", "0.1.4.3")



Attach the package and use:
library("backShift")
Maintained by
Christina Heinze-Deml
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-09
Latest Update: 2020-05-06
Description:
Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables. The underlying system is required to be linear and we assume that observations under different shift interventions are available. For more details, see .
How to cite:
Christina Heinze-Deml (2015). backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions. R package version 0.1.4.3, https://cran.r-project.org/web/packages/backShift. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.1 (2015-06-09 21:27), 0.1.2 (2015-08-19 14:27), 0.1.3 (2015-10-13 17:42), 0.1.4.1 (2017-01-09 15:16), 0.1.4.2 (2017-09-07 12:52)
Other packages that cited backShift R package
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Complete documentation for backShift
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