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cff-version: 1.2.0
message: 'To cite package "LSMjml" in publications use:'
type: software
license: GPL-3.0-only
title: 'LSMjml: Fitting Latent Space Item Response Models using Joint Maximum Likelihood
  Estimation'
version: 0.6.0
doi: 10.32614/CRAN.package.LSMjml
abstract: 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 (in press) 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.
authors:
- family-names: Molenaar
  given-names: Dylan
  email: d.molenaar@uva.nl
repository: https://cran.r-universe.dev
commit: 75753bfd9545c9c64f735ce2139be34152f7c3da
date-released: '2025-12-19'
contact:
- family-names: Molenaar
  given-names: Dylan
  email: d.molenaar@uva.nl