Package: bigIRT
Title: Item Response Theory for Large Sparse Data
Version: 0.2.0
Authors@R: 
    person(given = "Charles",
           family = "Driver",
           role = c("aut", "cre"),
           email = "charles.driver@psychologie.uzh.ch",
           comment = c(ORCID = "0000-0002-4174-2970"))
Description: Fits binary item response theory (IRT) models for large
        and sparse data in long format, by marginal maximum likelihood
        with a Laplace approximation to the integral over person
        abilities, or by the joint posterior mode over items and
        persons. Supports 1PL to 4PL models, multidimensional and
        confirmatory loading structures with an estimated latent
        correlation, covariate effects on ability and on each item
        parameter, empirical-Bayes prior adaptation, and
        post-estimation tools for information, reliability, item fit,
        held-out prediction and simulation.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Depends: R (>= 3.5.0), data.table
Imports: Matrix, methods, mize, Rcpp (>= 0.12.0), RcppParallel (>=
        5.0.1), splines
LinkingTo: Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>=
        5.0.1)
Suggests: broom, ggplot2, loo, mirt, testthat, knitr, rmarkdown,
        sandwich, strucchange
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/cdriveraus/bigIRT
BugReports: https://github.com/cdriveraus/bigIRT/issues
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: cmake make
Repository: https://cdriveraus.r-universe.dev
Date/Publication: 2026-10-10 09:55:55 UTC
RemoteUrl: https://github.com/cdriveraus/bigIRT
RemoteRef: HEAD
RemoteSha: 7eef27fe82a37aeb0ae532f254c48eb7bdd433a5
NeedsCompilation: yes
Packaged: 2026-10-12 16:03:36 UTC; root
Author: Charles Driver [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4174-2970>)
Maintainer: Charles Driver <charles.driver@psychologie.uzh.ch>