IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459539.html

MVPLOT: Stata module to plot results from multiverse analysis

Author

Listed:
  • Daniel Krähmer

    (University of Munich)

  • Cristobal Young

    (Cornell University)

Programming Language

Abstract

mvplot visualizes results from multiverse analysis. The command produces a plot with two panels: an upper panel displaying the multiverse distribution of the target coefficient as a density function, and a lower panel showing the multiverse's analytical composition alongside results from an influence regression quantifying the impact of each researcher decision on the target coefficient. Note that mvplot itself does not conduct multiverse analyses. Instead, it requires users to provide a results dataset from an already completed multiverse analysis. Hence, the command is best used in conjunction with the multivrs command (Young & Holsteen, 2021).

Suggested Citation

  • Daniel Krähmer & Cristobal Young, 2025. "MVPLOT: Stata module to plot results from multiverse analysis," Statistical Software Components S459539, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459539
    Note: This module should be installed from within Stata by typing "ssc install mvplot". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/m/mvplot.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/mvplot.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:boc:bocode:s459539. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    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.