Other packages > Find by keyword >

BoundIRT  

Fit Bounded Continuous Item Response Theory Models to Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BoundIRT", "0.8.0")



Attach the package and use:
library("BoundIRT")
Maintained by
Dylan Molenaar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-20
Latest Update: 2026-04-20
Description:
Bounded continuous data are encountered in many areas of test application. Examples include visual analogue scales used in the measurement of personality, mood, depression, and quality of life; item response times from tests with item deadlines; confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT) models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework. The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025)<https://mc-stan.org/>. Available models include the Beta IRT model by Noel and Dauvier (2007)<doi:10.1177/0146621605287691>, the continuous response model by Samejima (1973)<doi:10.1007/BF03372160>, the unbounded normal model by Mellenbergh (1994)<doi:10.1207/s15327906mbr2903_2>, and the Simplex IRT model by Flores et al. (2020)<doi:10.1007/978-3-030-43469-4_8>. All models can be fitted with or without zero-one inflation (Molenaar et al., 2022)<doi:10.3102/10769986221108455>. Model fit comparisons can be conducted using the Watanabe–Akaike information criterion (WAIC), the deviance information criterion (DIC), and the fully marginalized likelihood (i.e., Bayes factors).
How to cite:
Dylan Molenaar (2026). BoundIRT: Fit Bounded Continuous Item Response Theory Models to Data. R package version 0.8.0, https://cran.r-project.org/web/packages/BoundIRT. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.0.1 (2026-04-20 14:40), 0.5.0 (2026-05-05 16:21), 0.6.0 (2026-08-21 07:47), (2026-09-16 17:20)
Other packages that cited BoundIRT R package
View BoundIRT citation profile
Other R packages that BoundIRT depends, imports, suggests or enhances
Complete documentation for BoundIRT
Functions, R codes and Examples using the BoundIRT R package
Full BoundIRT package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA