dlsem: Distributed-Lag Linear Structural Equation Models

Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models where each factor of the joint probability distribution is a distributed-lag linear regression (Magrini, 2018 <doi:10.2478/bile-2018-0012>; Magrini et al., 2019 <doi:10.1007/s11135-019-00855-z>). 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: 2.4.4
Depends: graph, Rgraphviz
Imports: methods
Published: 2019-10-16
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <alessandro.magrini at unifi.it>
License: GPL-2
NeedsCompilation: no
Materials: ChangeLog
In views: Econometrics
CRAN checks: dlsem results

Downloads:

Reference manual: dlsem.pdf
Vignettes: Distributed-lag linear structural equation models in R: the dlsem package
Package source: dlsem_2.4.4.tar.gz
Windows binaries: r-devel: dlsem_2.4.4.zip, r-release: dlsem_2.4.4.zip, r-oldrel: dlsem_2.4.4.zip
OS X binaries: r-release: dlsem_2.4.4.tgz, r-oldrel: dlsem_2.4.4.tgz
Old sources: dlsem archive

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