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SIRE

Finding Feedback Effects in SEM and Testing for Their Significance

v1.1.0 · Apr 11, 2019 · GPL-3

Description

Provides two main functionalities. 1 - Given a system of simultaneous equation, it decomposes the matrix of coefficients weighting the endogenous variables into three submatrices: one includes the subset of coefficients that have a causal nature in the model, two include the subset of coefficients that have a interdependent nature in the model, either at systematic level or induced by the correlation between error terms. 2 - Given a decomposed model, it tests for the significance of the interdependent relationships acting in the system, via Maximum likelihood and Wald test, which can be built starting from the function output. For theoretical reference see Faliva (1992) <doi:10.1007/BF02589085> and Faliva and Zoia (1994) <doi:10.1007/BF02589041>.

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  All declared Imports should be used.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘magrittr’ ‘psych’ ‘stringr’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘magrittr’ ‘psych’ ‘stringr’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies systemfit psych igraph matrixcalc MASS numDeriv Matrix stringr Rsolnp dplyr magrittr SIRE

Version History

new 1.1.0 Mar 9, 2026