References
Bulut, O., and O. Sunbul. 2017. “Monte Carlo Simulation Studies in Item Response Theory with the R Programming Language.” Journal of Measurement and Evaluation in Education and Psychology 8 (3): 266–87. https://doi.org/doi: 10.21031/epod.30582.
Casabianca, Jodi M., and Charles Lewis. 2015. “IRT Item Parameter Recovery with Marginal Maximum Likelihood Estimation Using Loglinear Smoothing Models.” Journal of Educational and Behavioral Statistics 40 (6): 547–78. https://doi.org/10.3102/1076998615606112.
Chalmers, Phil. 2019. Mirt: Multidimensional Item Response Theory. https://CRAN.R-project.org/package=mirt.
———. 2020. SimDesign: Structure for Organizing Monte Carlo Simulation Designs. https://CRAN.R-project.org/package=SimDesign.
Corporation, Microsoft, and Stephen Weston. 2019a. DoSNOW: Foreach Parallel Adaptor for the ’Snow’ Package. https://CRAN.R-project.org/package=doSNOW.
Corporation, Microsoft, and Steve Weston. 2019b. DoParallel: Foreach Parallel Adaptor for the ’Parallel’ Package. https://CRAN.R-project.org/package=doParallel.
Hallgren, K. A. 2013. “Conducting Simulation Studies in the R Programming Environment.” Tutorials in Quantitative Methods for Psychology 9 (2): 43–60. https://doi.org/10.20982/tqmp.09.2.p043.
Hester, Jim. 2020. Bench: High Precision Timing of R Expressions. https://CRAN.R-project.org/package=bench.
Izrailev, Sergei. 2014. Tictoc: Functions for Timing R Scripts, as Well as Implementations of Stack and List Structures. https://CRAN.R-project.org/package=tictoc.
Kusnierczyk, Wacek. 2012. Rbenchmark: Benchmarking Routine for R. https://CRAN.R-project.org/package=rbenchmark.
Leschinski, Christian Hendrik. 2019. MonteCarlo: Automatic Parallelized Monte Carlo Simulations. https://CRAN.R-project.org/package=MonteCarlo.
Mersmann, Olaf. 2019. Microbenchmark: Accurate Timing Functions. https://CRAN.R-project.org/package=microbenchmark.
Microsoft, and Steve Weston. 2017. Foreach: Provides Foreach Looping Construct for R. https://CRAN.R-project.org/package=foreach.
Partchev, Ivailo, and Gunter Maris. 2017. Irtoys: A Collection of Functions Related to Item Response Theory (Irt). https://CRAN.R-project.org/package=irtoys.
R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Sarkar, Deepayan. 2018. Lattice: Trellis Graphics for R. https://CRAN.R-project.org/package=lattice.
Sievert, Carson, Chris Parmer, Toby Hocking, Scott Chamberlain, Karthik Ram, Marianne Corvellec, and Pedro Despouy. 2020. Plotly: Create Interactive Web Graphics via ’Plotly.js’. https://CRAN.R-project.org/package=plotly.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, and Hiroaki Yutani. 2019. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2019. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Xie, Yihui. 2020a. Bookdown: Authoring Books and Technical Documents with R Markdown. https://CRAN.R-project.org/package=bookdown.
———. 2020b. Knitr: A General-Purpose Package for Dynamic Report Generation in R. https://CRAN.R-project.org/package=knitr.