Package: dlsem 2.4.6

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.

Authors:Alessandro Magrini

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dlsem.pdf |dlsem.html
dlsem/json (API)

# Install 'dlsem' in R:
install.packages('dlsem', repos = c('https://alessandromagrini.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • agres - European agricultural data
  • industry - Industrial development

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 469 downloads 17 exports 4 dependencies

Last updated 5 years agofrom:06984f93f5. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
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R-4.5-macNOTEMar 20 2025
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R-4.3-macNOTEMar 20 2025

Exports:as.graphNELauto.lagPlotautoCodecausalEffcompareModelsdlsemdrawSampleecqgamisIndeplagPlotlagShapesldlmHACqdresidualPlotunirootTest

Dependencies:BiocGenericsgenericsgraphRgraphviz

Distributed-lag linear structural equation models in R: the dlsem package

Rendered fromdlsem_vignette.Rnwusingutils::Sweaveon Mar 20 2025.

Last update: 2020-04-16
Started: 2017-06-12