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MiCT  

Minimal Important Change and Threshold Estimation
View on CRAN: Click here


Download and install MiCT package within the R console
Install from CRAN:
install.packages("MiCT")

Install from Github:
library("remotes")
install_github("cran/MiCT")

Install by package version:
library("remotes")
install_version("MiCT", "2.0.0")



Attach the package and use:
library("MiCT")
Maintained by
Yong-Hao Pua
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-09
Latest Update: 2026-08-09
Description:
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>.
How to cite:
Yong-Hao Pua (2026). MiCT: Minimal Important Change and Threshold Estimation. R package version 2.0.0, https://cran.r-project.org/web/packages/MiCT. Accessed 24 Oct. 2026.
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Complete documentation for MiCT
Functions, R codes and Examples using the MiCT R package
Full MiCT package functions and examples
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