Package: LNIRT 0.5.1

Konrad Klotzke

LNIRT: LogNormal Response Time Item Response Theory Models

Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Supports variable person speed functions (intercept, trend, quadratic), and covariates for item and person (random) parameters. Data missing-by-design can be specified. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.

Authors:Jean-Paul Fox, Konrad Klotzke, Rinke Klein Entink

LNIRT_0.5.1.tar.gz
LNIRT_0.5.1.tar.gz(r-4.5-noble)LNIRT_0.5.1.tar.gz(r-4.4-noble)
LNIRT_0.5.1.tgz(r-4.4-emscripten)LNIRT_0.5.1.tgz(r-4.3-emscripten)
LNIRT.pdf |LNIRT.html
LNIRT/json (API)

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.20 score 1 stars 16 scripts 307 downloads 7 exports 1 dependencies

Last updated 4 years agofrom:8e79cd48ea. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025

Exports:LNIRTLNIRTQLNRTLNRTQsimLNIRTsimLNIRTQsummaryIRTQ

Dependencies:MASS