dlsem: Distributed-Lag Linear Structural Equation Models

Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models (Pearl, 2000, Chapter 5) <ISBN:978-0-521-89560-6>, where each factor of the joint probability distribution is a distributed-lag linear regression model (Judge et al., 1985, Chapters 9-10) <ISBN: 978-0-471-89530-5>. DLSEMs account for temporal delays in the dependence relationships among the variables and allow to perform dynamic causal inference by assessing causal effects at different time lags. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.

Version: 2.3
Depends: graph, gRbase, Rgraphviz
Imports: methods
Published: 2018-06-08
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <magrini at disia.unifi.it>
License: GPL-2
NeedsCompilation: no
In views: Econometrics
CRAN checks: dlsem results


Reference manual: dlsem.pdf
Vignettes: Distributed-lag linear structural equation models in R: the dlsem package
Package source: dlsem_2.3.tar.gz
Windows binaries: r-devel: dlsem_2.3.zip, r-release: dlsem_2.3.zip, r-oldrel: dlsem_2.3.zip
OS X binaries: r-release: dlsem_2.3.tgz, r-oldrel: dlsem_2.3.tgz
Old sources: dlsem archive


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