Package: semmcci 1.1.5
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>.
Authors:
semmcci_1.1.5.tar.gz
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semmcci.pdf |semmcci.html✨
semmcci/json (API)
NEWS
| # Install 'semmcci' in R: |
| install.packages('semmcci', repos = c('https://jeksterslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeksterslab/semmcci/issues
Pkgdown site:https://jeksterslab.github.io
confidence-intervalsmonte-carlostructural-equation-modeling
Last updated 1 months agofrom:a7fa60b6af. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 12 2025 |
| R-4.5-win | OK | Feb 12 2025 |
| R-4.5-mac | OK | Feb 12 2025 |
| R-4.5-linux | OK | Feb 12 2025 |
| R-4.4-win | OK | Feb 12 2025 |
| R-4.4-mac | OK | Feb 12 2025 |
| R-4.3-win | OK | Feb 12 2025 |
| R-4.3-mac | OK | Feb 12 2025 |
Exports:FuncMCMCFuncMCGenericMCMIMCStd
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelavaanlifecyclelme4magrittrMASSMatrixmiceminqamitmlmnormtnlmenloptrnnetnumDerivordinalpanpbivnormpillarpkgconfigprettyunitsprogresspurrrquadprogR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
