Package: BoundIRT
Title: Fit Bounded Continuous Item Response Theory Models to Data
Version: 0.0.1
Authors@R: 
    person("Dylan", "Molenaar", , "d.molenaar@uva.nl", role = c("aut", "cre"))
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).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Biarch: true
Depends: R (>= 3.5)
Imports: methods, mvtnorm, rmutil, MASS, Rcpp (>= 0.12.0), RcppParallel
        (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.6.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-04-13 10:30:14 UTC; dmolena1
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>
Repository: CRAN
Date/Publication: 2026-04-20 12:40:02 UTC
