Rirt
Data Analysis and Parameter Estimation Using Item Response Theory
Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at https://github.com/xluo11/Rirt.
- Version0.0.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release10/23/2019
Documentation
Team
Xiao Luo
Insights
Last 30 days
This package has been downloaded 167 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,447 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 10, 2024 with 50 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.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests1 package
- Linking To1 package
- Reverse Imports2 packages