Package: LSMjml
Type: Package
Title: Fitting Latent Space Item Response Models using Joint Maximum
        Likelihood Estimation
Version: 0.6.0
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 (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.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.12), lavaan, pROC, psych
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-12-15 14:34:34 UTC; dmolena1
Repository: CRAN
Date/Publication: 2025-12-19 15:10:08 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 10:32:47 UTC; unix
Archs: LSMjml.so.dSYM
