Minimal Important Change and Threshold Estimation R package MiCT version 2.0.0 Provides methods for estimating minimal important change (MIC) and interpretation thresholds for multi-item questionnaires and single-item continuous or ordinal measures. Methods include predictive modelling, adjusted predictive modelling, improved adjusted predictive modelling using anchor reliability, confirmatory factor analysis for anchor reliability, longitudinal confirmatory factor analysis for MIC estimation, longitudinal confirmatory factor analysis-based MIC estimation for single-item measures, and confirmatory factor analysis-based threshold estimation for single-item and multi-item measures. Implemented methods include those developed by Terluin et al. (2015) <doi:10.1016/j.jclinepi.2015.03.015>, Terluin et al. (2017) <doi:10.1016/j.jclinepi.2016.12.015>, Terluin et al. (2022) <doi:10.1016/j.jclinepi.2022.04.018>, Terluin et al. (2023) <doi:10.1007/s11136-023-03355-8>, Terluin et al. (2024) <doi:10.1007/s11136-023-03577-w>, Terluin et al. (2024) <doi:10.1007/s11136-024-03763-4>, and Terluin et al. (2026) <doi:10.1007/s11136-025-04134-3>. Software Depends: R (>= 4.1.0) Imports: lavaan, MASS, mirt, pROC Suggests: testthat (>= 3.0.0) Yong-Hao Pua <gmspuyh@duke-nus.edu.sg> Comprehensive R Archive Network (CRAN) Iris Eekhout [aut] (Original package author), Berend Terluin [aut], Yong-Hao Pua [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=MiCT/LICENSE) 2026-08-09 application/tgz https://CRAN.R-project.org/package=MiCT doi:10.32614/CRAN.package.MiCT