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
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

Documentation:

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

Downloads:

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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