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 12 Mar. 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)
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

sloop  
Helpers for 'OOP' in R
A collection of helper functions designed to help you to better understand object oriented programmi ...
Download / Learn more Package Citations See dependency  
funnelR  
Funnel Plots for Proportion Data
A set of simplified functions for creating funnel plots for proportion data. This package supports u ...
Download / Learn more Package Citations See dependency  
threewords  
Represent Precise Coordinates in Three Words
A connector to the 'What3Words' (http://what3words.co ...
Download / Learn more Package Citations See dependency  
impactflu  
Quantification of Population-Level Impact of Vaccination
Implements the compartment model from Tokars (2018) . This ena ...
Download / Learn more Package Citations See dependency  
riskCommunicator  
G-Computation to Estimate Interpretable Epidemiological Effects
Estimates flexible epidemiological effect measures including both differences and ratios using the p ...
Download / Learn more Package Citations See dependency  
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  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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