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mplot: An R Package for Graphical Model Stability and Variable Selection Procedures

Tarr, Garth; Muller, Samuel; Welsh, Alan

Description

The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao 2009) for linear and generalized linear models. We provide a number of innovations on the standard procedures and address many practical implementation issues including the addition of redundant variables, interactive visualizations and the...[Show more]

dc.contributor.authorTarr, Garth
dc.contributor.authorMuller, Samuel
dc.contributor.authorWelsh, Alan
dc.date.accessioned2019-04-21T10:15:20Z
dc.date.available2019-04-21T10:15:20Z
dc.identifier.issn1548-7660
dc.identifier.urihttp://hdl.handle.net/1885/160559
dc.description.abstractThe mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao 2009) for linear and generalized linear models. We provide a number of innovations on the standard procedures and address many practical implementation issues including the addition of redundant variables, interactive visualizations and the approximation of logistic models with linear models. An option is provided that combines our bootstrap approach with glmnet for higher dimensional models. The plots and graphical user interface leverage state of the art web technologies to facilitate interaction with the results. The speed of implementation comes from the leaps package and cross-platform multicore support.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherFoundation for Open Access Statistics
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceJournal of Statistical Software
dc.titlemplot: An R Package for Graphical Model Stability and Variable Selection Procedures
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume83
dc.date.issued2018
local.identifier.absfor080204 - Mathematical Software
local.identifier.ariespublicationu4485658xPUB2262
local.type.statusPublished Version
local.contributor.affiliationTarr, Garth, University of Sydney
local.contributor.affiliationMuller, Samuel, University of Sydney
local.contributor.affiliationWelsh, Alan, College of Business and Economics, ANU
local.bibliographicCitation.issue9
local.identifier.doi10.18637/jss.v083.i09
local.identifier.absseo890205 - Information Processing Services (incl. Data Entry and Capture)
local.identifier.absseo890201 - Application Software Packages (excl. Computer Games)
dc.date.updated2019-03-12T07:33:35Z
local.identifier.thomsonID000426470900001
dcterms.accessRightsOpen Access
dc.rights.licenseJSS is committed to electronic open-access publishing since its foundation in 1996 and has chosen to apply the Creative Commons Attribution License (CCAL) to all articles. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in JSS, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Code distributed with JSS articles uses the GNU General Public License (GPL) version 2 or version 3 or a GPL-compatible license. JSS does NOT consider software distributed under other licenses.
CollectionsANU Research Publications

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