Package: LSMjml
Type: Package
Title: Fitting Latent Space Item Response Models using Joint Maximum
        Likelihood Estimation
Version: 0.7.0
Authors@R: person("Dylan", "Molenaar", role=c("aut", "cre"),email="d.molenaar@uva.nl")
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>
Description: In Latent Space Item Response Models, subjects and items
        are embedded in a multidimensional Euclidean latent space. As
        such, interactions among persons, items, and person-item
        combinations can be revealed that are unmodelled in more
        conventional item response theory models. This package
        implements the methods from Molenaar & Jeon
        (2026)<doi:10.1017/psy.2025.10068> and can be used to fit
        Latent Space Item Response Models to data using joint maximum
        likelihood estimation. The package can handle binary data,
        ordinal data, and data with mixed scales. The package
        incorporates facilities for data simulation, rotation of the
        latent space, and K-fold cross-validation to select the number
        of dimensions of the latent space.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.12), lavaan, pROC, psych
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-09-29 10:37:11 UTC; root
Repository: https://dylanmolenaar-nl.r-universe.dev
Date/Publication: 2026-09-28 15:10:02 UTC
RemoteUrl: https://github.com/cran/LSMjml
RemoteRef: HEAD
RemoteSha: fe620782add2e1ad5b27c1d7470425c8784a6cbe
