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LoopAnalyst  

A Collection of Tools to Conduct Levins' Loop Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LoopAnalyst", "1.2-7")



Attach the package and use:
library("LoopAnalyst")
Maintained by
Alexis Dinno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-02-08
Latest Update: 2024-04-08
Description:
Performs Levins' loop analysis of qualitatively-specified complex causal systems. Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means direct causal relationships and indirect causal effects are coded as sign only (i.e. increases, decreases, no change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as 'graphviz' (). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
How to cite:
Alexis Dinno (2006). LoopAnalyst: A Collection of Tools to Conduct Levins' Loop Analysis. R package version 1.2-7, https://cran.r-project.org/web/packages/LoopAnalyst. Accessed 08 Oct. 2026.
Previous versions and publish date:
1.0-1 (2006-02-08 09:09), 1.0-2 (2006-02-09 07:55), 1.0-4 (2006-02-22 09:39), 1.1-1 (2006-03-08 09:42), 1.1-2 (2006-04-18 11:56), 1.1-3 (2007-09-12 12:29), 1.1-4 (2007-09-28 17:50), 1.2-0 (2007-11-26 11:20), 1.2-1.1 (2009-02-23 11:32), 1.2-1 (2007-11-27 09:23), 1.2-2 (2012-10-29 08:57), 1.2-3 (2013-07-10 10:08), 1.2-4 (2015-07-08 10:14), 1.2-6 (2018-01-20 01:00), 1.2-7 (2024-04-08 18:20), (2026-10-05 02:10)
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