Title: R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses | Journal of Statistical Software
Open Graph Title: R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses by Anestis Touloumis
Open Graph Description: The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical limitations of the GEE method. A main strength of multgee is that it provides GEE routines for both ordinal (ordLORgee) and nominal (nomLORgee) responses, while relevant other softwares in R and SAS are restricted to ordinal responses under a marginal cumulative link model specification. In addition, multgee offers a marginal adjacent categories logit model for ordinal responses and a marginal baseline category logit model for nominal responses. Further, utility functions are available to ease the local odds ratios structure selection (intrinsic.pars) and to perform a Wald type goodness-of-fit test between two nested GEE models (waldts). We demonstrate the application of multgee through a clinical trial with clustered ordinal multinomial responses.
Opengraph URL: https://doi.org/10.18637/jss.v064.i08
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| DC.Creator.PersonalName | Anestis Touloumis |
| DC.Date.created | 2015-03-20 |
| DC.Date.dateSubmitted | 2013-06-08 |
| DC.Date.issued | 2015-03-20 |
| DC.Date.modified | 2015-03-20 |
| DC.Description | The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical limitations of the GEE method. A main strength of multgee is that it provides GEE routines for both ordinal (ordLORgee) and nominal (nomLORgee) responses, while relevant other softwares in R and SAS are restricted to ordinal responses under a marginal cumulative link model specification. In addition, multgee offers a marginal adjacent categories logit model for ordinal responses and a marginal baseline category logit model for nominal responses. Further, utility functions are available to ease the local odds ratios structure selection (intrinsic.pars) and to perform a Wald type goodness-of-fit test between two nested GEE models (waldts). We demonstrate the application of multgee through a clinical trial with clustered ordinal multinomial responses. |
| DC.Format | SP |
| DC.Identifier | v064i08 |
| DC.Identifier.pageNumber | 1 - 14 |
| DC.Identifier.DOI | 10.18637/jss.v064.i08 |
| DC.Identifier.URI | https://www.jstatsoft.org/index.php/jss/article/view/v064i08 |
| DC.Language | en |
| DC.Rights | Copyright (c) 2013 Anestis Touloumis |
| DC.Source | Journal of Statistical Software |
| DC.Source.ISSN | 1548-7660 |
| DC.Source.Volume | 64 |
| DC.Source.URI | https://www.jstatsoft.org/index.php/jss |
| DC.Title | R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses |
| DC.Type | Text.Serial.Journal |
| DC.Type.articleType | Articles |
| gs_meta_revision | 1.1 |
| citation_journal_title | Journal of Statistical Software |
| citation_journal_abbrev | J. Stat. Soft. |
| citation_issn | 1548-7660 |
| citation_author | Anestis Touloumis |
| citation_title | R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses |
| citation_language | en |
| citation_date | 2015/03/20 |
| citation_volume | 64 |
| citation_firstpage | 1 |
| citation_lastpage | 14 |
| citation_doi | 10.18637/jss.v064.i08 |
| citation_abstract_html_url | https://www.jstatsoft.org/index.php/jss/article/view/v064i08 |
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