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.