semlbci: Likelihood-Based Confidence Interval in Structural Equation Models

Forms likelihood-based confidence intervals (LBCIs) for parameters in structural equation modeling, introduced in Cheung and Pesigan (2023) <doi:10.1080/10705511.2023.2183860>. Currently implements the algorithm illustrated by Pek and Wu (2018) <doi:10.1037/met0000163>, and supports the robust LBCI proposed by Falk (2018) <doi:10.1080/10705511.2017.1367254>.

Version: 0.10.4
Depends: R (≥ 4.0.0)
Imports: lavaan (≥ 0.6.13), nloptr, stats, utils, MASS, ggplot2, ggrepel, rlang, pbapply
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2023-10-31
Author: Shu Fai Cheung ORCID iD [aut, cre], Ivan Jacob Agaloos Pesigan ORCID iD [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung at>
License: GPL-3
NeedsCompilation: no
Citation: semlbci citation info
Materials: README NEWS
CRAN checks: semlbci results


Reference manual: semlbci.pdf
Vignettes: Log Profile Likelihood of a Parameter
Get Started
Searching for One Bound


Package source: semlbci_0.10.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): semlbci_0.10.4.tgz, r-oldrel (arm64): semlbci_0.10.4.tgz, r-release (x86_64): semlbci_0.10.4.tgz, r-oldrel (x86_64): semlbci_0.10.3.tgz
Old sources: semlbci archive


Please use the canonical form to link to this page.