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The stablespec package for causal discovery on cross-sectional and longitudinal data in R.

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Title: The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
Authors: Rahmadi, Ridho1,2 r.rahmadi@cs.ru.nl, Groot, Perry2, Heskes, Tom2
Source: Neurocomputing. Jan2018, Vol. 275, p2440-2443. 4p.
Subjects: Cross-sectional method, Longitudinal method, Structural equation modeling, Multivariate analysis, Regression analysis, Algorithms
Abstract: The R package stablespec is an implementation of our method stable specification search . The method aims at causal discovery on both cross-sectional and longitudinal data through stable specification search in constrained structural equation models. [ABSTRACT FROM AUTHOR]
Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 126959114
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
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  Data: <searchLink fieldCode="AR" term="%22Rahmadi%2C+Ridho%22">Rahmadi, Ridho</searchLink><relatesTo>1,2</relatesTo><i> r.rahmadi@cs.ru.nl</i><br /><searchLink fieldCode="AR" term="%22Groot%2C+Perry%22">Groot, Perry</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Heskes%2C+Tom%22">Heskes, Tom</searchLink><relatesTo>2</relatesTo>
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  Data: The R package stablespec is an implementation of our method stable specification search . The method aims at causal discovery on both cross-sectional and longitudinal data through stable specification search in constrained structural equation models. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neucom.2017.10.064
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 2440
    Subjects:
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Algorithms
        Type: general
    Titles:
      – TitleFull: The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
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              M: 01
              Text: Jan2018
              Type: published
              Y: 2018
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