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:Ivan Jacob Agaloos Pesigan [aut, cre, cph], Shu Fai Cheung [ctb]

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NEWS

# Install 'semmcci' in R:
install.packages('semmcci', repos = c('https://jeksterslab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jeksterslab/semmcci/issues

Pkgdown site:https://jeksterslab.github.io

On CRAN:

confidence-intervalsmonte-carlostructural-equation-modeling

5.44 score 2 stars 76 scripts 236 downloads 6 exports 67 dependencies

Last updated 2 days agofrom:a7fa60b6af. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 13 2025
R-4.5-winOKJan 13 2025
R-4.5-linuxOKJan 13 2025
R-4.4-winOKJan 13 2025
R-4.4-macOKJan 13 2025
R-4.3-winOKJan 13 2025
R-4.3-macOKJan 13 2025

Exports:FuncMCMCFuncMCGenericMCMIMCStd

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelavaanlifecyclelme4magrittrMASSMatrixmiceminqamitmlmnormtnlmenloptrnnetnumDerivordinalpanpbivnormpillarpkgconfigprettyunitsprogresspurrrquadprogR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr