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LSMjml

Fitting Latent Space Item Response Models using Joint Maximum Likelihood Estimation

v0.6.0 · Dec 19, 2025 · GPL-3

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.

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installed package size

  installed size is  5.2Mb
  sub-directories of 1Mb or more:
    libs   5.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.3Mb
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  5.2Mb
  sub-directories of 1Mb or more:
    libs   5.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.3Mb

Dependency Network

Dependencies Reverse dependencies Rcpp lavaan pROC psych LSMjml

Version History

new 0.6.0 Mar 9, 2026