Other packages > Find by keyword >

aMNLFA  

Automated Moderated Nonlinear Factor Analysis Using 'M-plus'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("aMNLFA", "1.1.2")



Attach the package and use:
library("aMNLFA")
Maintained by
Veronica Cole
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-12
Latest Update: 2022-02-13
Description:
Automated generation, running, and interpretation of moderated nonlinear factor analysis models for obtaining scores from observed variables, using the method described by Gottfredson and colleagues (2019) . This package creates M-plus input files which may be run iteratively to test two different types of covariate effects on items: (1) latent variable impact (both mean and variance); and (2) differential item functioning. After sequentially testing for all effects, it also creates a final model by including all significant effects after adjusting for multiple comparisons. Finally, the package creates a scoring model which uses the final values of parameter estimates to generate latent variable scores. \n\n This package generates TEMPLATES for M-plus inputs, which can and should be inspected, altered, and run by the user. In addition to being presented without warranty of any kind, the package is provided under the assumption that everyone who uses it is reading, interpreting, understanding, and altering every M-plus input and output file. There is no one right way to implement moderated nonlinear factor analysis, and this package exists solely to save users time as they generate M-plus syntax according to their own judgment.
How to cite:
Veronica Cole (2018). aMNLFA: Automated Moderated Nonlinear Factor Analysis Using 'M-plus'. R package version 1.1.2, https://cran.r-project.org/web/packages/aMNLFA. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1 (2018-04-12 12:55), 1.0.0 (2021-06-25 09:50), 1.1.0 (2021-11-25 06:30), 1.1.1 (2021-12-17 17:50)
Other packages that cited aMNLFA R package
View aMNLFA citation profile
Other R packages that aMNLFA depends, imports, suggests or enhances
Complete documentation for aMNLFA
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
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  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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