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emIRT

EM Algorithms for Estimating Item Response Theory Models

v0.0.15 · Sep 23, 2025 · GPL (>= 3)

Description

Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The package includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are fitted using variational EM. The package also includes variational network and text scaling models. The algorithms are described in Imai, Lo, and Olmsted (2016) <DOI:10.1017/S000305541600037X>.

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NOTE r-oldrel-macos-arm64

installed package size

installed size is 18.5Mb
  sub-directories of 1Mb or more:
    data   2.0Mb
    libs  16.2Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 18.4Mb
  sub-directories of 1Mb or more:
    data   2.0Mb
    libs  16.2Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 18.5Mb
  sub-directories of 1Mb or more:
    data   2.0Mb
    libs  16.2Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 18.4Mb
  sub-directories of 1Mb or more:
    data   2.0Mb
    libs  16.2Mb

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies pscl Rcpp lpmec emIRT

Version History

new 0.0.15 Mar 10, 2026
updated 0.0.15 ← 0.0.14 diff Sep 23, 2025
updated 0.0.14 ← 0.0.13 diff Jul 5, 2024
updated 0.0.13 ← 0.0.11 diff Mar 3, 2022
updated 0.0.11 ← 0.0.9 diff Feb 3, 2020
updated 0.0.9 ← 0.0.8 diff Dec 12, 2019
updated 0.0.8 ← 0.0.7 diff Feb 13, 2017
updated 0.0.7 ← 0.0.6 diff Jul 28, 2016
updated 0.0.6 ← 0.0.5 diff Mar 21, 2016
new 0.0.5 Feb 28, 2015