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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).
This project is associated with the following manuscript:
Cheung, S. F., & Pesigan, I. J. A. (2023). semlbci: An r package for forming likelihood-based confidence intervals for parameter estimates, correlations, indirect effects, and other derived parameters. Structural Equation Modeling: A Multidisciplinary Journal, 30(6), 985-999. https://doi.org/10.1080/10705511.2023.2183860
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