Other packages > Find by keyword >

MonteCarloSEM  

Monte Carlo Data Simulation Package
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MonteCarloSEM", "0.0.8")



Attach the package and use:
library("MonteCarloSEM")
Maintained by
Fatih Orcan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-22
Latest Update: 2024-04-05
Description:
Monte Carlo simulation allows testing different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test can also be run. Please cite as "Or
How to cite:
Fatih Orcan (2020). MonteCarloSEM: Monte Carlo Data Simulation Package. R package version 0.0.8, https://cran.r-project.org/web/packages/MonteCarloSEM. Accessed 01 Sep. 2026.
Previous versions and publish date:
0.0.1 (2020-09-22 11:50), 0.0.2 (2021-04-22 11:20), 0.0.3 (2021-10-20 16:20), 0.0.4 (2022-05-26 16:30), 0.0.5 (2022-06-22 15:10), 0.0.6 (2023-05-02 11:10), 0.0.7 (2024-03-29 12:00), 0.0.8 (2024-04-05 11:53), (2026-07-09 08:11)
Other packages that cited MonteCarloSEM R package
View MonteCarloSEM citation profile
Other R packages that MonteCarloSEM depends, imports, suggests or enhances
Complete documentation for MonteCarloSEM
Functions, R codes and Examples using the MonteCarloSEM R package
Some associated functions: MCAR.data . MNAR.data . fcors.value . fit.simulation . loading.value . sim.categoric . sim.normal . sim.skewed . 
Some associated R codes: Input_fcors.R . Input_floads.R . MCAR.R . MNAR.R . run.sem.sim.R . sim_Categoric.R . sim_Normal.R . sim_Skewed.R .  Full MonteCarloSEM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
markets  
Estimation Methods for Markets in Equilibrium and Disequilibrium
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation ...
Download / Learn more Package Citations See dependency  
fANCOVA  
Nonparametric Analysis of Covariance
A collection of R functions to perform nonparametric analysis of covariance for regression curves o ...
Download / Learn more Package Citations See dependency  
reproj  
Coordinate System Transformations for Generic Map Data
Transform coordinates from a specified source to a specified target map projection. This uses the ' ...
Download / Learn more Package Citations See dependency  
flood  
Statistical Methods for the (Regional) Analysis of Flood Frequency
Includes several statistical methods for the estimation of parameters and high quantiles of river fl ...
Download / Learn more Package Citations See dependency  

28,400

R Packages

239,283

Dependencies

75,283

Author Associations

28,401

Publication Badges

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