IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/94fh6.html
   My bibliography  Save this paper

CRAN R Package ‘bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan''

Author

Listed:
  • Vuong, Quan-Hoang
  • La, Viet-Phuong
  • Ho, Manh-Toan

    (Thanh Tay University Hanoi)

Abstract

Reference manual for R package "bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'" developed by Vuong Quan Hoang and Viet Phuong La. The package is published in The Comprehensive R Archive Network (CRAN). For more information: https://cran.r-project.org/web/packages/bayesvl/index.html

Suggested Citation

  • Vuong, Quan-Hoang & La, Viet-Phuong & Ho, Manh-Toan, 2019. "CRAN R Package ‘bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan''," OSF Preprints 94fh6, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:94fh6
    DOI: 10.31219/osf.io/94fh6
    as

    Download full text from publisher

    File URL: https://osf.io/download/5ce81cac8d6e05001b5dbdd1/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/94fh6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minh-Hoang Nguyen & Minh-Phuong Thi Duong & Manh-Cuong Nguyen & Noah Mutai & Ruining Jin & Phuong-Tri Nguyen & Tam-Tri Le & Quan-Hoang Vuong, 2023. "Promoting Stakeholders’ Support for Marine Protection Policies: Insights from a 42-Country Dataset," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    2. Vuong, Quan-Hoang & La, Viet-Phuong & Nguyen, Thanh-Huyen T. & Nguyen, Minh-Hoang & Vuong, Thu-Trang & Vuong, Ha-My & Ho, Manh-Toan, 2021. "Impacts of parents and reading promotion on creating a reading culture: Evidence from a developing context," Children and Youth Services Review, Elsevier, vol. 131(C).
    3. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    4. Nguyen, Minh-Hoang, 2021. "The bayesvl R package and ISR’s publications using Bayesian inference," OSF Preprints rx3c6, Center for Open Science.
    5. Team, AISDL, 2023. "Applications and developments of BMF analytics/MT over time," OSF Preprints gr3jt, Center for Open Science.
    6. Le Ngoc Anh, Hoang & Ho, Manh-Toan, 2019. "Quan hệ hợp tác Việt Nam – Hoa Kỳ trong lĩnh vực giáo dục đại học từ năm 1992 đến năm 2015," Thesis Commons 4gd5x, Center for Open Science.
    7. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).
    8. Nguyen, Minh-Hoang & Vuong, Quan-Hoang & Ho, Manh-Toan & Le, Tam-Tri, 2021. "Mindsponge mechanism," OSF Preprints zpvmk, Center for Open Science.
    9. Quan-Hoang Vuong & Thanh-Hang Pham & Trung Tran & Thu-Trang Vuong & Nguyen Manh Cuong & Nguyen Phuc Khanh Linh & Viet-Phuong La & Manh Toan Ho, 2020. "STEM education and outcomes in Vietnam: Views from the social gap and gender issues," Working Papers CEB 20-003, ULB -- Universite Libre de Bruxelles.
    10. Hanh, Vu Thi & Ho, Manh-Toan, 2019. "History as inspiration: Tracing Franco-Chinese architectural elements in Hanoi old houses," OSF Preprints 4gtxw, Center for Open Science.
    11. Nguyen, Minh-Hoang & Ho, Manh-Toan, 2021. "On the value of the mindsponge*bayesvl approach to researching humanities and social sciences phenomena," OSF Preprints yw673, Center for Open Science.
    12. Nguyen, Minh-Hoang, 2021. "From Mindsponge Process to Discovery," OSF Preprints jfnze, Center for Open Science.
    13. Nguyen, Minh-Hoang & Ho, Manh-Toan & Le, Tri Tam & Huyen, Nguyen Thanh Thanh & Nguyen, Hong-Kong T., 2021. "On the working of the mindsponge concept and the bayesvl R package," OSF Preprints jhg7b, Center for Open Science.
    14. Cuong, Nguyen Manh & Mutai, Noah C. & Ibeh, Lawrence, 2023. "A Gravity Model analysis of Ukraine crisis impact on Germany’s trade patterns," OSF Preprints p672w, Center for Open Science.
    15. Nguyen, Minh-Hoang, 2022. "Publications using the bayesvl R package for Bayesian inference by 2022," OSF Preprints fs9hg, Center for Open Science.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:94fh6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.