Finding Feedback Effects in SEM and Testing for Their Significance

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) and Faliva and Zoia (1994) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SIRE")

1.0.2 by Gianmarco Vacca, 7 months ago


Browse source code at https://github.com/cran/SIRE


Authors: Gianmarco Vacca [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports systemfit, psych, igraph, matrixcalc, MASS, numDeriv, Matrix, stringr


See at CRAN