CDM

Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous item responses. This package enables the estimation of the DINA and DINO model (Junker & Sijtsma, 2001, doi:10.1177/01466210122032064), the multiple group (polytomous) GDINA model (de la Torre, 2011, doi:10.1007/s11336-011-9207-7), the multiple choice DINA model (de la Torre, 2009, doi:10.1177/0146621608320523), the general diagnostic model (GDM; von Davier, 2008, doi:10.1348/000711007X193957), the structured latent class model (SLCA; Formann, 1992, doi:10.1080/01621459.1992.10475229) and regularized latent class analysis (Chen, Li, Liu, & Ying, 2017, doi:10.1007/s11336-016-9545-6). See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) doi:10.18637/jss.v074.i02 or Robitzsch and George (2019, doi:10.1007/978-3-030-05584-4_26) for further details on estimation and the package structure. For tutorials on how to use the CDM package see George and Robitzsch (2015, doi:10.20982/tqmp.11.3.p189) as well as Ravand and Robitzsch (2015).

Last 30 days

This package has been downloaded 4,477 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 150 times.

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Last 365 days

This package has been downloaded 42,006 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Feb 11, 2025 with 372 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.