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 model (Magrini, 2018) <doi:10.2478/bile-2018-0012>. 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.

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Description file content

Package
dlsem
Type
Package
Title
Distributed-Lag Linear Structural Equation Models
Version
2.4.1
Date
2019-01-11
Author
Alessandro Magrini
Maintainer
Alessandro Magrini
Description
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 model (Magrini, 2018) . 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.
Depends
graph, Rgraphviz
Imports
methods
License
GPL-2
NeedsCompilation
no
Packaged
2019-01-10 13:35:51 UTC; Alessandro
Repository
CRAN
Date/Publication
2019-01-10 14:00:21 UTC

install.packages('dlsem')

2.4.1

a month ago

Alessandro Magrini

GPL-2

Depends on

graph, Rgraphviz

Imports

methods

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