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.

Version: | 2.0 |

Depends: | nnet, splines, graph, gRbase, Rgraphviz |

Imports: | methods |

Published: | 2017-12-05 |

Author: | Alessandro Magrini |

Maintainer: | Alessandro Magrini <magrini at disia.unifi.it> |

License: | GPL-2 |

NeedsCompilation: | no |

In views: | Econometrics |

CRAN checks: | dlsem results |

Reference manual: | dlsem.pdf |

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

Package source: | dlsem_2.0.tar.gz |

Windows binaries: | r-devel: dlsem_2.0.zip, r-release: dlsem_2.0.zip, r-oldrel: dlsem_2.0.zip |

OS X El Capitan binaries: | r-release: dlsem_2.0.tgz |

OS X Mavericks binaries: | r-oldrel: dlsem_2.0.tgz |

Old sources: | dlsem archive |

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