Package: fourPNO 1.1.0.900

Steven Andrew Culpepper

fourPNO: Bayesian 4 Parameter Item Response Model

Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.

Authors:Steven Andrew Culpepper [aut, cre, cph]

fourPNO_1.1.0.900.tar.gz
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fourPNO.pdf |fourPNO.html✨
fourPNO/json (API)
NEWS

# Install 'fourPNO' in R:
install.packages('fourPNO', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tmsalab/fourpno/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

armadillocognitive-diagnostic-modelsgibbs-sampleritem-response-theoryrcpprcpparmadillo

6 exports 1 stars 0.74 score 2 dependencies 5 scripts 232 downloads

Last updated 5 years agofrom:dbee294847. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 15 2024
R-4.5-win-x86_64NOTEAug 15 2024
R-4.5-linux-x86_64NOTEAug 15 2024
R-4.4-win-x86_64NOTEAug 15 2024
R-4.4-mac-x86_64NOTEAug 15 2024
R-4.4-mac-aarch64NOTEAug 15 2024
R-4.3-win-x86_64NOTEAug 15 2024
R-4.3-mac-x86_64NOTEAug 15 2024
R-4.3-mac-aarch64NOTEAug 15 2024

Exports:Gibbs_2PNOGibbs_4PNOmin2LL_4pnormvnormTotal_TabulateY_4pno_simulate

Dependencies:RcppRcppArmadillo