Minimal Important Change and Threshold Estimation

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Documentation for package ‘MiCT’ version 2.0.0

• DESCRIPTION file
• Package NEWS
• Package README

Help Pages

equalize_levels	Equalize Paired Item Response Levels
example	Simulated longitudinal MIC example dataset
lcfa_model	Generate lavaan syntax for longitudinal CFA MIC estimation
mic_adjust	Predicted Minimal Important Change (MIC)
mic_iapm	Estimate Predictive Modeling-Based MICs and Thresholds
mic_lcfa	Estimate Present-State Bias and Anchor-Based MIC Using Longitudinal Confirmatory Factor Analysis
mic_pred	Predicted Minimal Important Change (MIC)
mic_roc	ROC-Based Minimal Important Change
mim_threshold	Estimate a CFA-based threshold for a multi-item questionnaire
mim_threshold_details	Extract hidden details from a mim_threshold object
simdat	Simulate Longitudinal PROM Data and a Binary Anchor
sim_mic_lcfa	Longitudinal confirmatory factor analysis-based MIC for a Single-Item Measure
sim_threshold	Estimate a Confirmatory Factor Analysis-based interpretation threshold for a single-item measure
sim_threshold_details	Extract details from a SIM threshold object
tr_reliability	Estimate anchor reliability using CFA
tr_reliability_model	Generate CFA syntax for anchor reliability
var_discretize	Discretize a continuous variable into equal-width ordered categories