uiReferences <-
  tabPanel("",
           icon = icon("fas fa-book"),
           #------------------------------------------------------------------------------------#
           # Packages ####
           #------------------------------------------------------------------------------------#
           h3("R packages"),
           HTML('<ul class = "biblio">
                <li><code>corrplot</code>
                Wei, T. & Simko, V. (2017).
                R package "corrplot": Visualization of a Correlation Matrix.
                R package version 0.84.
                <a href = "https://github.com/taiyun/corrplot", target = "_blank">See online.</a>
                </li>

                <li><code>cowplot</code>
                Claus O. Wilke (2018).
                cowplot: Streamlined Plot Theme and Plot Annotations for "ggplot2".
                R package version 0.9.3.
                <a href = " https://CRAN.R-project.org/package=cowplot", target = "_blank">See online.</a>
                </li>

                <li><code>CTT</code>
                Willse, J. & Willse, T. (2018).
                CTT: Classical Test Theory Functions.
                R package version 2.3.3.
                <a href = "https://CRAN.R-project.org/package=CTT", target = "_blank">See online.</a>
                </li>

                <li><code>data.table</code>
                Dowle, M. & Srinivasan, A. (2019).
                data.table: Extension of "data.frame".
                R package version 1.12.8.
                <a href = "https://CRAN.R-project.org/package=data.table", target = "_blank">See online.</a>
                </li>


                <li><code>deltaPlotR</code>
                Magis, D. & Facon, B. (2014).
                deltaPlotR: An R Package for Differential Item Functioning Analysis with Angoff`s Delta Plot.
                <i>Journal of Statistical Software, Code Snippets, 59</i>(1), 1-19.
                <a href = "http://www.jstatsoft.org/v59/c01/", target = "_blank">See online.</a>
                </li>

                <li><code>difNLR</code>
                Drabinova, A., Martinkova, P. (2020).
                difNLR: DIF and DDF Detection by Non-Linear Regression Models.
                R package version 1.3.2.
                <a href = "https://CRAN.R-project.org/package=difNLR", target = "_blank">See online.</a>
                </li>

                <li><code>difR</code>
                Magis, D., Beland, S., Tuerlinckx, F. & De Boeck, P. (2010).
                A general framework and an R package for the detection of dichotomous differential item functioning.
                <i>Behavior Research Methods, 42</i>847-862.
                </li>

                <li><code>DT</code>
                Xie, Y., Cheng, J. & Tan, X. (2019).
                DT: A Wrapper of the JavaScript Library "DataTables".
                R package version 0.10.
                <a href = "https://CRAN.R-project.org/package=DT", target = "_blank">See online.</a>
                </li>

                <li><code>ggdendro</code>
                de Vries, A. & Ripley, B.D. (2016).
                ggdendro: Create Dendrograms and Tree Diagrams Using "ggplot2".
                R package version 0.1-20.
                <a href = "https://CRAN.R-project.org/package=ggdendro", target = "_blank">See online.</a>
                </li>

                <li><code>ggplot2</code>
                Wickham, H. (2016).
                ggplot2: Elegant Graphics for Data Analysis.
                <a href = "http://ggplot2.org", target = "_blank">See online.</a>
                </li>

                <li><code>gridExtra</code>
                Auguie, B. (2017).
                gridExtra: Miscellaneous Functions for "Grid" Graphics.
                R package version 2.3.
                <a href = "https://CRAN.R-project.org/package=gridExtra", target = "_blank">See online.</a>
                </li>

                <li><code>knitr</code>
                Xie, Y. (2019).
                knitr: A General-Purpose Package for Dynamic Report Generation in R.
                R package version 1.26.
                <a href = "https://yihui.name/knitr/", target = "_blank">See online.</a>
                </li>

                <li><code>latticeExtra</code>
                Sarkar, D. & Andrews, F. (2016).
                latticeExtra: Extra Graphical Utilities Based on Lattice.
                R package version 0.6-28.
                <a href = "https://CRAN.R-project.org/package=latticeExtra", target = "_blank">See online.</a>
                </li>

                <li><code>ltm</code>
                Rizopoulos, D. (2006).
                ltm: An R package for Latent Variable Modelling and Item Response Theory Analyses.
                <i>Journal of Statistical Software, 17</i>(5), 1-25.
                <a href = "http://www.jstatsoft.org/v17/i05/", target = "_blank">See online.</a>
                </li>

                <li><code>mirt</code>
                Chalmers, R. & Chalmers, P. (2012).
                mirt: A Multidimensional Item Response Theory Package for the R Environment.
                <i>Journal of Statistical Software, 48</i>(6), 1-29.
                </li>

                <li><code>moments</code>
                Komsta, L. & Novomestky, F. (2015).
                moments: Moments, cumulants, skewness, kurtosis and related tests.
                R package version 0.14.
                <a href = "https://CRAN.R-project.org/package=moments", target = "_blank">See online.</a>
                </li>

                <li><code>msm</code>
                Jackson, C. & Jackson, H. (2011).
                Multi-State Models for Panel Data: The msm Package for R.
                <i>Journal of Statistical Software, 38</i>(8), 1-29.
                <a href = "http://www.jstatsoft.org/v38/i08/", target = "_blank">See online.</a>
                </li>

                <li><code>nnet</code>
                Venables, C. & Ripley, C. (2002).
                Modern Applied Statistics with S.
                <a href = "http://www.stats.ox.ac.uk/pub/MASS4", target = "_blank">See online.</a>
                </li>

                <li><code>plotly</code>
                Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M. & Despouy, P. (2017).
                plotly: Create Interactive Web Graphics via "plotly.js".
                R package version 4.9.1.
                <a href = "https://CRAN.R-project.org/package=plotly", target = "_blank">See online.</a>
                </li>

                <li><code>psych</code>
                Revelle, W. (2018).
                psych: Procedures for Psychological, Psychometric, and Personality Research.
                R package version 1.8.12.
                <a href = "https://CRAN.R-project.org/package=psych", target = "_blank">See online.</a>
                </li>

                <li><code>psychometric</code>
                Fletcher, T. & Fletcher, D. (2010).
                psychometric: Applied Psychometric Theory.
                R package version 2.2.
                <a href = "https://CRAN.R-project.org/package=psychometric", target = "_blank">See online.</a>
                </li>

                <li><code>reshape2</code>
                Wickham, H. (2007).
                Reshaping Data with the reshape Package.
                <i>Journal of Statistical Software, 21</i>(12), 1-20.
                <a href = "http://www.jstatsoft.org/v21/i12/", target = "_blank">See online.</a>
                </li>

                <li><code>rmarkdown</code>
                Xie, Y., Allaire, J.J. & Grolemund G. (2018). R Markdown: The Definitive Guide.
                Chapman and Hall/CRC. ISBN 9781138359338.
                <a href = "https://bookdown.org/yihui/rmarkdown", target = "_blank">See online.</a>
                </li>

                <li><code>shiny</code>
                Chang, W., Cheng, J., Allaire, J., Xie, Y. & McPherson, J. (2019).
                shiny: Web Application Framework for R.
                R package version 1.4.0.
                <a href = "https://CRAN.R-project.org/package=shiny", target = "_blank">See online.</a>
                </li>

                <li><code>shinyBS</code>
                Bailey, E. (2015).
                shinyBS: Twitter Bootstrap Components for Shiny.
                R package version 0.61.
                <a href = "https://CRAN.R-project.org/package=shinyBS", target = "_blank">See online.</a>
                </li>

                <li><code>shinydashboard</code>
                Chang, W. & Borges Ribeiro, B. (2018).
                shinydashboard: Create Dashboards with "Shiny".
                R package version 0.7.1
                <a href = "https://CRAN.R-project.org/package=shinydashboard", target = "_blank">See online.</a>
                </li>

                <li><code>ShinyItemAnalysis</code>
                Martinkova, P., & Drabinova, A. (2018).
                ShinyItemAnalysis for teaching psychometrics and to enforce routine analysis of educational tests.
                The R Journal, 10(2), 503-515.
                <a href = "https://journal.r-project.org/archive/2018/RJ-2018-074/", target = "_blank">See online.</a>
                </li>

                <li><code>shinyjs</code>
                Attali, D. (2018).
                shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds.
                R package version 1.0.
                <a href = "https://CRAN.R-project.org/package=shinyjs", target = "_blank">See online.</a>
                </li>

                <li><code>stringr</code>
                Wickham, H. (2019).
                stringr: Simple, Consistent Wrappers for Common String Operations.
                R package version 1.4.0.
                <a href = "https://CRAN.R-project.org/package=stringr", target = "_blank">See online.</a>
                </li>

                <li><code>xtable</code>
                Dahl, D., Scott, D., Roosen, C., Magnusson, A.& Swinton, J. (2019).
                xtable: Export Tables to LaTeX or HTML.
                R package version 1.8-4.
                <a href = "https://CRAN.R-project.org/package=xtable", target = "_blank">See online.</a>
                </li>

                <li><code>VGAM</code>
                Yee, T. W. (2019).
                VGAM: Vector Generalized Linear and Additive Models.
                R package version 1.1-2.
                <a href = "https://CRAN.R-project.org/package=VGAM", target = "_blank">See online.</a>
                </li>
                </ul>'),
           #------------------------------------------------------------------------------------#
           # References ####
           #------------------------------------------------------------------------------------#
           h3('References'),
           HTML('<ul class = "biblio">
                <li>Akaike, H. (1974). A New Look at the Statistical Model Identification.
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                target = "_blank">See online.</a>
                </li>

                <li>Ames, A. J., & Penfield, R. D. (2015). An NCME Instructional Module on Item-Fit
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                <li>Andrich, D. (1978). A Rating Formulation for Ordered Response Categories.
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                <li>Angoff, W. H., & Ford, S. F. (1973). Item-Race Interaction on a Test of
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                </li>

				        <li>Bartholomew, D., Steel, F., Moustaki, I. and Galbraith, J. (2002). The Analysis and Interpretation of Multivariate
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                <li>Bock, R. D. (1972). Estimating Item Parameters and Latent Ability when
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                <li>Brown, W. (1910).
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                <li>Chalmers, R. P. (2018). Improving the Crossing-SIBTEST Statistic for Detecting Non-uniform DIF.
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                <li>Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Tests.
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                <li>Drabinova, A., & Martinkova, P. (2017). Detection of Differential Item Functioning
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                <li> Feldt, L. S., Woodruff, D. J., & Salih, F. A. (1987).
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                <li>Li, H.-H., and Stout, W. (1996). A New Procedure for Detection of Crossing DIF.
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                <li>Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems.
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                <li>Magis, D., & Facon, B. (2012). Angoffs Delta Method Revisited: Improving DIF Detection under
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                <li>Martinkova, P., Drabinova, A., & Houdek, J. (2017). ShinyItemAnalysis: Analyza Prijimacich a
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                <li>Martinkova, P., Drabinova, A., Liaw, Y. L., Sanders, E. A., McFarland, J. L., & Price, R. M.
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                </li>

                <li>Martinkova, P., Stepanek, L., Drabinova, A., Houdek, J., Vejrazka, M., & Stuka, C. (2017).
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                <li>Martinkova, P., Drabinova, A., & Potuznikova, E.
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                <li>McFarland, J. L., Price, R. M., Wenderoth, M. P., Martinkova, P., Cliff, W., Michael, J., ... & Wright, A. (2017).
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           br()
  )
