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The package graphically represents covariate effects by mapping changes in regressor values to the dependent variable’s probability distribution, including single and composite covariate changes. It reads estimates from categorical and ordinal trinomial logit regressions (e.g., ordinal, mlogit, nnet, MASS, VGAM outputs) and builds field3logit objects visualized via autoplot() and plot(), including confidence regions since version 2.0.0.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ternary-plots-for-trinomial-regression-models-version-320-package-overview/657767/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ternary-plots-for-trinomial-regression-models-version-320-package-overview/657767.png","ImageObject",300,407,{"name":92,"@type":93},"pixelkiddo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-10-26",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What does plot3logit do for trinomial regression models?","Question",{"text":112,"@type":113},"It implements ternary plots that help interpret regression coefficients by visualizing how covariate changes affect the probability distribution of the dependent variable.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which kinds of regression outputs can field3logit() read?",{"text":117,"@type":113},"It can read estimates from ordinal package functions (clm/clm2), mlogit (mlogit), nnet (multinom), MASS (polr), and VGAM (vgam/vglm), and it can also take explicit estimates.",{"name":119,"@type":110,"acceptedAnswer":120},"How are the ternary plots produced and extended in later versions?",{"text":121,"@type":113},"field3logit objects can be visualized using functions like autoplot() and plot(). Since version 2.0.0, the package can compute and draw confidence regions for covariate effects.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},657767,1793051377,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090883892,"https://ap-avatar.wpscdn.com/avatar/e00115db34f3e0f11b?x-image-process=image/resize,m_fixed,w_180,h_180&k=1790152879550218658","Package ‘plot3logit’  \nMay 9, 2026  \nType Package  \nTitle Ternary Plots for Trinomial Regression Models Version 3.2.0  \nAuthor Flavio Santi [cre, aut](ORCID:  \n\u003C[https://orcid.org/0000-0002-2014-1981](https://orcid.org/0000-0002-2014-1981)>),  \nMaria Michela Dickson [aut](ORCID:  \n\u003C[https://orcid.org/0000-0002-4307-0469](https://orcid.org/0000-0002-4307-0469)>),  \nGiuseppe Espa [aut](ORCID: \u003C[https://orcid.org/0000-0002-0331-3630](https://orcid.org/0000-0002-0331-3630)>), Diego Giuliani [aut](ORCID: \u003C[https://orcid.org/0000-0002-7198-6714](https://orcid.org/0000-0002-7198-6714)>)  \nMaintainer Flavio Santi \u003Cflavio.santi@unitn. it>  \nURL [https://www.flaviosanti.it/software/plot3logit/](https://www.flaviosanti.it/software/plot3logit/)  \nBugReports [https://github.com/f-santi/plot3logit/issues/](https://github.com/f-santi/plot3logit/issues/)  \nDescription An implementation of the ternary plot for interpreting regression coefficients of trinomial regression models, as proposed in Santi, Dickson and Espa (2019) \u003Cdoi:10.1080/00031305.2018.1442368> . Ternary plots can be  \ndrawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary'package (based on standard graphics) . The package and its features are illustrated in Santi, Dickson, Espa and Giuliani (2022)  \n\u003Cdoi:10.18637/jss.v103.c01> .  \nDepends R (>= 4.5), ggtern (>= 4.0.0), Ternary (>= 2.3.5)  \nImports dplyr, ellipse, forcats, generics, ggplot2 (>= 4.0.1), graphics, grDevices, lifecycle, magrittr (>= 2.0.3), purrr, Rdpack, stats, stringr, tibble, tidyr, tidyselect, utils  \nSuggests knitr, MASS (>= 7.3.65), mlogit, nnet, ordinal, rmarkdown, VGAM, testthat  \nLicense GPL (>= 2) LazyData true NeedsCompilation no Encoding UTF-8 RoxygenNote 7.3.2  \n2 plot3logit-package  \nRepository CRAN VignetteBuilder knitr RdMacros Rdpack, lifecycle  \nDate/Publication 2025-12-19 20:20:09 UTC  \nContents  \nplot3logit-package ..................................... 2  \nadd_confregions ....................................... 4  \nautoplot.Hfield3logit .................................... 6  \ncross_ 1year ......................................... 7  \nextract3logit ......................................... 8  \nfield3logit .......................................... 10  \ngg3logit ........................................... 14  \nlabels ............................................ 15  \nmultifield3logit ....................................... 16  \nstat_ 3logit .......................................... 18  \nstat_conf3logit ....................................... 19  \nstat_field3logit ....................................... 21  \nTernaryField ......................................... 23  \nUSvote2016 ......................................... 24  \nIndex 25  \n\n| plot3logit-package | Ternary Plots for Trinomial Regression Models |\n| --- | --- |\n\nDescription  \nAn implementation of the ternary plot for interpreting regression coefficients of trinomial regression models, as proposed in Santi et al. (2019) . For details on the features of the package, see Santi et al. (2022) .  \nDetails  \nThe package permits the covariate effects of trinomial regression models to be represented graphically by means of a ternary plot. The aim of the plots is helping the interpretation of regression coefficients in terms of the effects that a change in regressors’ values has on the probability distribution of the dependent variable. Such changes may involve either a single regressor, or a group of them (composite changes), and the package permits both cases to be represented in a user-friendly way. Methodological details are illustrated and discussed in Santi et al. (2019) .  \nThe package can read the results of both categorical and ordinal trinomial logit regression fitted by various functions (see extract3logit()) and creates a field3logit object which may be represented by means of functions autoplot() and plot() .  \nThe plot3logit package inherits graphical classes and methods from the package ggtern (Hamilton and Ferry 2018) wh","cbCaigXLKQEsR9qb","https://ap.wps.com/l/cbCaigXLKQEsR9qb","pdf",248097,26,"English","# plot3logit-package\n## add_confregions\n## autoplot.Hfield3logit\n## extract3logit\n## field3logit\n## gg3logit\n## labels\n## multifield3logit\n## stat_3logit\n## stat_conf3logit\n## stat_field3logit\n## TernaryField\n## USvote2016\n## Index","[{\"question\":\"What does plot3logit do for trinomial regression models?\",\"answer\":\"It implements ternary plots that help interpret regression coefficients by visualizing how covariate changes affect the probability distribution of the dependent variable.\"},{\"question\":\"Which kinds of regression outputs can field3logit() read?\",\"answer\":\"It can read estimates from ordinal package functions (clm/clm2), mlogit (mlogit), nnet (multinom), MASS (polr), and VGAM (vgam/vglm), and it can also take explicit estimates.\"},{\"question\":\"How are the ternary plots produced and extended in later versions?\",\"answer\":\"field3logit objects can be visualized using functions like autoplot() and plot(). Since version 2.0.0, the package can compute and draw confidence regions for covariate effects.\"}]","Ternary Plots for Trinomial Regression Models - Version 3.2.0 - Package overview | PDF",1792988676,66]