Other packages > Find by keyword >

semmcci  

Monte Carlo Confidence Intervals in Structural Equation Modeling
View on CRAN: Click here


Download and install semmcci package within the R console
Install from CRAN:
install.packages("semmcci")

Install from Github:
library("remotes")
install_github("cran/semmcci")

Install by package version:
library("remotes")
install_version("semmcci", "1.1.4")



Attach the package and use:
library("semmcci")
Maintained by
Ivan Jacob Agaloos Pesigan
[Scholar Profile | Author Map]
First Published: 2022-09-13
Latest Update: 2023-10-14
Description:
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) .
How to cite:
Ivan Jacob Agaloos Pesigan (2022). semmcci: Monte Carlo Confidence Intervals in Structural Equation Modeling. R package version 1.1.4, https://cran.r-project.org/web/packages/semmcci. Accessed 12 Apr. 2025.
Previous versions and publish date:
1.0.1 (2022-09-13 12:30), 1.0.2 (2022-10-04 11:20), 1.0.3 (2022-10-16 12:40), 1.0.4 (2022-12-17 10:50), 1.1.2 (2023-08-12 17:00), 1.1.3 (2023-10-14 22:30)
Other packages that cited semmcci R package
View semmcci citation profile
Other R packages that semmcci depends, imports, suggests or enhances
Complete documentation for semmcci
Downloads during the last 30 days
03/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/10Downloads for semmcci024681012141618TrendBars

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
oysteR  
Scans R Projects for Vulnerable Third Party Dependencies
Collects a list of your third party R packages, and scans them with the 'OSS' Index provided by 'So ...
Download / Learn more Package Citations See dependency  
pampe  
Implementation of the Panel Data Approach Method for Program Evaluation
Implements the Panel Data Approach Method for program evaluation as developed in Hsiao, Ching and Ki ...
Download / Learn more Package Citations See dependency  
dials  
Tools for Creating Tuning Parameter Values
Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the d ...
Download / Learn more Package Citations See dependency  
modeest  
Mode Estimation
Provides estimators of the mode of univariate data or univariate distributions. ...
Download / Learn more Package Citations See dependency  
sparseBC  
Sparse Biclustering of Transposable Data
Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse biclustering of transpo ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA