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 with constrained lag shapes (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 through a single parameter per covariate, thus allowing to perform dynamic causal inference in a feasible fashion. Endpoint-constrained quadratic, quadratic decreasing, linearly decreasing and gamma lag shapes are available.

Version: 2.4.6
Depends: R (≥ 3.5.0), graph, Rgraphviz
Imports: methods
Published: 2020-04-16
DOI: 10.32614/CRAN.package.dlsem
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


Reference manual: dlsem.pdf
Vignettes: Distributed-lag linear structural equation models in R: the dlsem package


Package source: dlsem_2.4.6.tar.gz
Windows binaries: r-devel: dlsem_2.4.6.zip, r-release: dlsem_2.4.6.zip, r-oldrel: dlsem_2.4.6.zip
macOS binaries: r-release (arm64): dlsem_2.4.6.tgz, r-oldrel (arm64): dlsem_2.4.6.tgz, r-release (x86_64): dlsem_2.4.6.tgz, r-oldrel (x86_64): dlsem_2.4.6.tgz
Old sources: dlsem archive


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