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LNIRT  

LogNormal Response Time Item Response Theory Models
View on CRAN: Click here


Download and install LNIRT package within the R console
Install from CRAN:
install.packages("LNIRT")

Install from Github:
library("remotes")
install_github("cran/LNIRT")

Install by package version:
library("remotes")
install_version("LNIRT", "0.5.1")



Attach the package and use:
library("LNIRT")
Maintained by
Konrad Klotzke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-06
Latest Update: 2021-01-19
Description:
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, .
How to cite:
Konrad Klotzke (2016). LNIRT: LogNormal Response Time Item Response Theory Models. R package version 0.5.1, https://cran.r-project.org/web/packages/LNIRT
Previous versions and publish date:
0.1.0 (2016-10-06 21:40), 0.2.0 (2017-03-20 09:38), 0.3.0 (2018-03-24 17:09), 0.3.5 (2018-11-14 15:50), 0.4.0 (2019-03-31 12:40), 0.5.0 (2020-11-16 18:40)
Other packages that cited LNIRT R package
View LNIRT citation profile
Other R packages that LNIRT depends, imports, suggests or enhances
Functions, R codes and Examples using the LNIRT R package
Some associated functions: AmsterdamChess . CredentialForm1 . LNIRT . LNIRTQ . LNRT . LNRTQ . dot-onAttach . simLNIRT . simLNIRTQ . summaryIRTQ . 
Some associated R codes: AmsterdamChess-data.R . CredentialForm1-data.R . LNIRT.R . LNIRT_Q.R . LNRT.R . LNRT_Q.R . MCMC.R . MCMC_Q.R . SUMMARY_LNIRT_Q.R . fit.R . fit_Q.R . init.R . print.R . simLNIRT.R . simLNIRT_Q.R . summary.R . tools.R .  Full LNIRT package functions and examples
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