Package: SIRE
Type: Package
Title: Finding Feedback Effects in SEM and Testing for Their
        Significance
Version: 1.1.0
Authors@R: person("Gianmarco", "Vacca", email = "gianmarco.vacca@unicatt.it", role = c("aut","cre"))
Maintainer: Gianmarco Vacca <gianmarco.vacca@unicatt.it>
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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: systemfit, psych, igraph, matrixcalc, MASS, numDeriv, Matrix,
        stringr, Rsolnp, dplyr, magrittr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-04-11 16:16:59 UTC; gianmarco.vacca
Author: Gianmarco Vacca [aut, cre]
Repository: CRAN
Date/Publication: 2019-04-11 16:32:41 UTC
Built: R 4.6.0; ; 2026-04-25 14:09:45 UTC; unix
