Package: IRTest 2.1.0
Seewoo Li
IRTest: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Authors:
IRTest_2.1.0.tar.gz
IRTest_2.1.0.zip(r-4.5)IRTest_2.1.0.zip(r-4.4)IRTest_2.1.0.zip(r-4.3)
IRTest_2.1.0.tgz(r-4.4-any)IRTest_2.1.0.tgz(r-4.3-any)
IRTest_2.1.0.tar.gz(r-4.5-noble)IRTest_2.1.0.tar.gz(r-4.4-noble)
IRTest_2.1.0.tgz(r-4.4-emscripten)IRTest_2.1.0.tgz(r-4.3-emscripten)
IRTest.pdf |IRTest.html✨
IRTest/json (API)
NEWS
# Install 'IRTest' in R: |
install.packages('IRTest', repos = c('https://seewooli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/seewooli/irtest/issues
Last updated 1 months agofrom:dd2bb899cc. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:adaptive_testbest_modelcat_clpscoef_seDataGenerationdist2factor_scoreinform_f_iteminform_f_testIRTest_ContIRTest_DichIRTest_MixIRTest_Polyitem_fitlatent_distributionoriginal_par_2GMplot_itemrecategorizereliability
Dependencies:askpassbetafunctionsclicliprcolorspacecrayoncredentialscurldcurverdescfansifarverfsgertggplot2ghgitcredsgluegtablehttr2iniisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeopensslpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrprojrootrstudioapiscalessystibbleusethisutf8vctrsviridisLitewhiskerwithryamlzip