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semmcci: Monte Carlo Confidence Intervals in Structural Equation Modeling

Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.

Version: 1.1.4
Depends: R (≥ 3.0.0)
Imports: stats, lavaan, mice, parallel
Suggests: knitr, rmarkdown, testthat, MASS, psych, Amelia, bmemLavaan
Published: 2024-03-17
DOI: 10.32614/CRAN.package.semmcci
Author: Ivan Jacob Agaloos Pesigan ORCID iD [aut, cre, cph], Shu Fai Cheung ORCID iD [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab at gmail.com>
BugReports: https://github.com/jeksterslab/semmcci/issues
License: MIT + file LICENSE
URL: https://github.com/jeksterslab/semmcci, https://jeksterslab.github.io/semmcci/
NeedsCompilation: no
Citation: semmcci citation info
Materials: NEWS
CRAN checks: semmcci results

Documentation:

Reference manual: semmcci.pdf

Downloads:

Package source: semmcci_1.1.4.tar.gz
Windows binaries: r-devel: semmcci_1.1.4.zip, r-release: semmcci_1.1.4.zip, r-oldrel: semmcci_1.1.4.zip
macOS binaries: r-release (arm64): semmcci_1.1.4.tgz, r-oldrel (arm64): semmcci_1.1.4.tgz, r-release (x86_64): semmcci_1.1.4.tgz, r-oldrel (x86_64): semmcci_1.1.4.tgz
Old sources: semmcci archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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