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-4.7-any)LNIRT_0.5.1.tar.gz(r-4.6-any)
LNIRT_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
LNIRT/json (API)

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

On CRAN:

Conda:

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

1.23 score 1 stars 17 scripts 357 downloads 7 exports 1 dependencies

Last updated from:8e79cd48ea. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK172
linux-release-x86_64OK132
wasm-releaseOK114

Exports:LNIRTLNIRTQLNRTLNRTQsimLNIRTsimLNIRTQsummaryIRTQ

Dependencies:MASS