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shinySSVS

shinySSVS is an online application for performing stochastic search variable selection (SSVS) and visualizing the results. SSVS is a Bayesian variable selection method that can be used to estimate the probability that each of a set of candidate predictors be included in the model. The online application accepts a variety of data formats and includes functionality for continuous or binary outcome variables.

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Online and Free Software Tools

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SSVS R package

SSVS is an open source R package available on CRAN for implementing stochastic search variable selection (SSVS) and visualizing the results. This package includes the same functionality as the shinySSVS web application, however native R users may prefer to call the functions from R. This can be useful for reproducing results from lots of models or running simulation studies.

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ShinyDLRs

ShinyDLRs is an online application for performing ROC analysis to determine optimal diagnostic likelihood ratios (DLRs). DLRs are an important tool for evidence-based assessment.

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Sierra Bainter, Ph.D.
Assistant Professor, Department of Psychology
University of Miami

© 2022 by Sierra Bainter