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semlbci: An R package for forming likelihood-based confidence intervals for parameter estimates, correlations, indirect effects, and other derived parameters
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Description: This project is associated with the manuscript "An R package for forming likelihood-based confidence intervals for parameter estimates, correlations, indirect Effects, and other derived parameters" (Cheung, S. F., & Pesigan, I. J. A., 2023). It presents the R package `semlbci` for forming likelihood-based confidence intervals (LBCIs) for parameters in models fitted by `lavaan`, an R package for structural equation modelling (SEM). The package supports both unstandardized and standardized estimates, derived parameters such as indirect effect, multisample models, and the robust LBCI proposed by Falk (2018).
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