{"id":2,"date":"2017-04-29T23:34:02","date_gmt":"2017-04-29T23:34:02","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/sonyasterba\/?page_id=2"},"modified":"2026-01-05T09:42:23","modified_gmt":"2026-01-05T14:42:23","slug":"software-tools","status":"publish","type":"page","link":"https:\/\/my.vanderbilt.edu\/sonyasterba\/software-tools\/","title":{"rendered":"Software Tools"},"content":{"rendered":"
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r2MLM3<\/a> R function for Rights, J.D. & Sterba, S.K. (In press). R-squared measures for multilevel models with three or more levels. Multivariate Behavioral Research<\/i>. DOI:10.1080\/00273171.2021.1985948<\/p>\n

reRegMixR2<\/a> R function for Sterba, S.K.,\u01c2<\/sup> & Rights, J.D.\u01c2<\/sup> (2022). R-squared measures for multilevel mixture models with random effects. Structural Equation Modeling<\/i>, 29<\/i>, 489-506. \u01c2<\/sup>Authors contributed equally.<\/p>\n

r2MLMlong R function<\/a> for Rights, J.D., & Sterba, S.K. (2021). Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R-squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategies. New Directions for Child and Adolescent Development<\/i>, 175<\/i>, 65-110 (Special Issue on Developmental Methods).<\/p>\n

r2MLMcomp R function<\/a> and R package<\/a> for Rights, J.D., & Sterba, S.K. (2020). New recommendations on the use of R-squared differences in multilevel model comparisons. Multivariate Behavioral Research<\/i>, 55<\/i>, 568-599.<\/p>\n

r2MLM R function<\/a> and R package<\/a> for Rights, J.D., & Sterba, S.K. (2019). Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures. Psychological Methods<\/i>, 24<\/i>, 309-338.<\/p>\n

regMixR2 R function<\/a> for Rights, J.D., & Sterba, S.K. (2018). A framework of R-squared measures for single-level and multilevel regression mixture models. Psychological Methods<\/i>, 23<\/i>, 434-457.<\/p>\n

npmmApproximation R function<\/a> for Rights, J.D., & Sterba, S.K. (2016). The relationship between multilevel models and nonparametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity. British Journal of Mathematical and Statistical Psychology<\/i>, 69<\/i>, 316-343.<\/p>\n

PAVranking R function<\/a> for Sterba, S. K., & Rights, J. D. (2017). Effects of parceling on model selection: Parcel-allocation variability in model ranking. Psychological Methods<\/i>, 22<\/i>, 47-68.<\/p>\n

poolMAlloc R function<\/a> for Sterba, S. K., & Rights, J. D. (2016). Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations. Multivariate Behavioral Research<\/i>, 51<\/i>, 296-313.<\/p>\n

parcelAllocation SAS macro<\/a> and parcelAllocation R function<\/a> for Sterba, S. K., & MacCallum, R. C. (2010). Variability in parameter estimates and model fit across repeated allocations of items to parcels. Multivariate Behavioral Research<\/i>, 45<\/i>, 322-358.<\/p>\n

plotSEMM R function<\/a> for Pek, J., Sterba, S. K., Kok, B., & Bauer, D. J. (2009). Estimating and visualizing nonlinear relations among latent variables: A semi-parametric approach. Multivariate Behavioral Research<\/i>, 44<\/i>, 407-436.<\/p>\n<\/div>\n

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© 2010-2026, Sonya K. Sterba<\/p>\n","protected":false},"excerpt":{"rendered":"

r2MLM3 R function for Rights, J.D. & Sterba, S.K. (In press). R-squared measures for multilevel models with three or more levels. Multivariate Behavioral Research. DOI:10.1080\/00273171.2021.1985948 reRegMixR2 R function for Sterba, S.K.,\u01c2 & Rights, J.D.\u01c2 (2022). R-squared measures for multilevel mixture … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":6720,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/users\/6720"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":32,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":342,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/2\/revisions\/342"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}