Package: RMX 0.1-6
Rainer W. Alexandrowicz
RMX: Rasch Models -- eXtensions
Extend Rasch and Item Response Theory (IRT) analyses by providing tools for post-processing the output from five major IRT packages (i.e., 'eRm', 'psychotools', 'ltm', 'mirt', and 'TAM'). The current version provides the plotPIccc() function, which extracts from the return object of the originating package all information required to draw an extended Person-Item-Map (PIccc), showing any combination of * category characteristic curves (CCCs), * threshold characteristic curves (TCCs), * item characteristic curves (ICCs), * category information functions (CIFs), * item information functions (IIFs), * test information function (TIF), and the * standard error curve (S.E.). for uni- and multidimensional models (as far as supported by each package). It allows for selecting dimensions, items, and categories to plot and offers numerous options to adapt the output. The return object contains all calculated values for further processing.
Authors:
RMX_0.1-6.tar.gz
RMX_0.1-6.tar.gz(r-4.5-noble)RMX_0.1-6.tar.gz(r-4.4-noble)
RMX_0.1-6.tgz(r-4.4-emscripten)RMX_0.1-6.tgz(r-4.3-emscripten)
RMX.pdf |RMX.html✨
RMX/json (API)
NEWS
# Install 'RMX' in R: |
install.packages('RMX', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- big5 - BIG 5 Example Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:25123348bf. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux | OK | Dec 11 2024 |
Exports:plotPIccc
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
BIG 5 Example Data Set | big5 |
RMX Rasch Modeling Extended: A Visualisation Tool for IRT Models | plotPIccc |