Title: Distributed-Lag Linear Structural Equation Models
Description: Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs were recently proposed by Magrini et al. (2016) <ISBN:978-88-619-7061-8> as an extension of linear structural causal models (Pearl, 2000) <ISBN:978-0-521-89560-6>, where each factor of the joint probability distribution is a distributed-lag linear regression with constrained lag shapes. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
Packaged: 2017-12-05 11:54:52 UTC; Alessandro

Description: Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are an extension of linear 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 with constrained lag shapes (Judge et al., 1985, Chapters 9-10) <ISBN: 978-0-471-89530-5>. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
Depends: graph, gRbase, Rgraphviz, splines
Packaged: 2018-01-03 12:17:26 UTC; Alessandro

Description: 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.

Packaged: 2018-06-06 08:10:32 UTC; Alessandro

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) <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.
Packaged: 2019-01-10 13:35:51 UTC; Alessandro