Implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using 'Stan' for 'Bayesian' estimation. Provides functions for transforming interval data to simplex representations, fitting item response theory (IRT) models with isometric log-ratio (ILR) and sum log-ratio (SLR) link functions, and visualizing results. The package enables aggregation and analysis of interval-valued response data commonly found in psychological measurement and related disciplines. Based on Kloft et al. (2024) <doi:10.31234/osf.io/dzvw2>.
Version: |
0.1.0 |
Depends: |
R (≥ 4.1) |
Imports: |
dplyr, ggdist, ggokabeito, ggplot2, methods, posterior, purrr, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4) |
LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥
2.18.0) |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2025-07-08 |
Author: |
Matthias Kloft
[aut, cre, cph],
Björn S. Siepe
[aut] |
Maintainer: |
Matthias Kloft <kloft.dev+intervalpsych at gmail.com> |
BugReports: |
https://github.com/matthiaskloft/intervalpsych/issues |
License: |
GPL (≥ 3) |
URL: |
https://matthiaskloft.github.io/intervalpsych/,
https://github.com/matthiaskloft/intervalpsych |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Materials: |
README NEWS |
CRAN checks: |
intervalpsych results |